Dr. Mike Miller, who had previously announced a two quarter sequence of classes on Lie Groups at UCLA, has just opened up registration for the second course in the series. His courses are always clear, entertaining, and invigorating, and I highly recommend them to anyone who is interested in math, science, or engineering.
Prior to the first part of the course, I’d written some thoughts about the timbre and tempo of his lecture style and philosophy and commend those interested to take a peek. I also mentioned some additional resources for the course there as well. For those who missed the first portion, I’m happy to help fill you in and share some of my notes if necessary. The recommended minimum prerequisites for this class are linear algebra and some calculus.
Introduction to Lie Groups and Lie Algebras (Part 2)
Math X 450.7 / 3.00 units / Reg. # 251580W
Professor: Michael Miller, Ph.D.
Start Date: January 13, 2015
Location: UCLA, 5137 Math Sciences Building
January 13 – March 24
11 meetings total Class will not meet on one Tuesday to be annouced.
A Lie group is a differentiable manifold that is also a group for which the product and inverse maps are differentiable. A Lie algebra is a vector space endowed with a binary operation that is bilinear, alternating, and satisfies the so-called Jacobi identity. This course is the second in a 2-quarter sequence that offers an introductory survey of Lie groups, their associated Lie algebras, and their representations. Its focus is split between continuing last quarter’s study of matrix Lie groups and their representations and reconciling this theory with that for the more general manifold setting. Topics to be discussed include the Weyl group, complete reducibility, semisimple Lie algebras, root systems, and Cartan subalgebras. This is an advanced course, requiring a solid understanding of linear algebra, basic analysis, and, ideally, the material from the previous quarter.Internet access required to retrieve course materials.
I’m giving a short 30-minute talk at a workshop on Biological and Bio-Inspired Information Theory at the Banff International Research Institute. I’ll say more about the workshop later, but here’s my talk: * Biodiversity, entropy and thermodynamics. Most of the people at this workshop study neurobiology and cell signalling, not evolutionary game theory or…
I’m having a great time at a workshop on Biological and Bio-Inspired Information Theory in Banff, Canada. You can see videos of the talks online. There have been lots of good talks so far, but this one really blew my mind: * Naftali Tishby, Sensing and acting under information constraints—a principled approach to biology and…
John Harte is an ecologist who uses maximum entropy methods to predict the distribution, abundance and energy usage of species. Marc Harper uses information theory in bioinformatics and evolutionary game theory. Harper, Harte and I are organizing a workshop on entropy and information in biological systems, and I’m really excited about it!
John Harte, Marc Harper and I are running a workshop! Now you can apply here to attend: * Information and entropy in biological systems, National Institute for Mathematical and Biological Synthesis, Knoxville Tennesee, Wednesday-Friday, 8-10 April 2015. Click the link, read the stuff and scroll down to “CLICK HERE” to apply.
There will be a 5-day workshop on Biological and Bio-Inspired Information Theory at BIRS from Sunday the 26th to Friday the 31st of October, 2014. It’s being organized by * Toby Berger (University of Virginia) * Andrew Eckford (York University) * Peter Thomas (Case Western Reserve University) BIRS is the Banff International Research Station,…
How does it feel to (co-)write a book and hold the finished product in your hands? About like this: Many, many thanks to my excellent co-authors, Tadashi Nakano and Tokuko Haraguchi, for their hard work; thanks to Cambridge for accepting this project and managing it well; and thanks to Satoshi Hiyama for writing a nice blurb.
You may have seen our PLOS ONE paper about tabletop molecular communication, which received loads of media coverage. One of the goals of this paper was to show that anyone can do experiments in molecular communication, without any wet labs or expensive apparatus.
[My comments posted to the original Facebook post follow below.]
I’m coming to this post a bit late as I’m playing a bit of catch up, but agree with it wholeheartedly.
In particular, applications to molecular biology and medicine are really beginning to come to a heavy boil in just the past five years. This particular year is the progenitor of what appears to be the biggest renaissance for the application of information theory to the area of biology since Hubert Yockey, Henry Quastler, and Robert L. Platzman’s “Symposium on Information Theory in Biology at Gatlinburg, Tennessee” in 1956.
Upcoming/recent conferences/workshops on information theory in biology include:
I’ll note in passing, for those interested, that Claude Shannon’s infamous master’s thesis at MIT (in which he applied Boolean Algebra to electric circuits allowing the digital revolution to occur) and his subsequent “The Theory of Mathematical Communication” were so revolutionary, nearly everyone forgets his MIT Ph.D. Thesis “An Algebra for Theoretical Genetics” which presaged the areas of cybernetics and the current applications of information theory to microbiology and are probably as seminal as Sir R.A Fisher’s applications of statistics to science in general and biology in particular.
For those commenting on the post who were interested in a layman’s introduction to information theory, I recommend John Robinson Pierce’s An Introduction to Information Theory: Symbols, Signals and Noise (Dover has a very inexpensive edition.) After this, one should take a look at Claude Shannon’s original paper. (The MIT Press printing includes some excellent overview by Warren Weaver along with the paper itself.) The mathematics in the paper really aren’t too technical, and most of it should be comprehensible by most advanced high school students.
For those that don’t understand the concept of entropy, I HIGHLY recommend Arieh Ben-Naim’s book Entropy Demystified The Second Law Reduced to Plain Common Sense with Seven Simulated Games. He really does tear the concept down into its most basic form in a way I haven’t seen others come remotely close to and which even my mother can comprehend (with no mathematics at all). (I recommend this presentation to even those with Ph.D.’s in physics because it is so truly fundamental.)
For the more advanced mathematicians, physicists, and engineers Arieh Ben-Naim does a truly spectacular job of extending ET Jaynes’ work on information theory and statistical mechanics and comes up with a more coherent mathematical theory to conjoin the entropy of physics/statistical mechanics with that of Shannon’s information theory in A Farewell to Entropy: Statistical Thermodynamics Based on Information.
In recent years, ideas such as “life is information processing” or “information holds the key to understanding life” have become more common. However, how can information, or more formally Information Theory, increase our understanding of life, or life-like systems?
Information Theory not only has a profound mathematical basis, but also typically provides an intuitive understanding of processes, such as learning, behavior and evolution terms of information processing.
In this special issue, we are interested in both:
the information-theoretic formalization and quantification of different aspects of life, such as driving forces of learning and behavior generation, information flows between neurons, swarm members and social agents, and information theoretic aspects of evolution and adaptation, and
the simulation and creation of life-like systems with previously identified principles and incentives.
Topics with relation to artificial and natural systems:
information theoretic intrinsic motivations
information theoretic quantification of behavior
information theoretic guidance of artificial evolution
information theoretic guidance of self-organization
information theoretic driving forces behind learning
information theoretic driving forces behind behavior
information theory in swarms
information theory in social behavior
information theory in evolution
information theory in the brain
information theory in system-environment distinction
information theory in the perception action loop
information theoretic definitions of life
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed Open Access monthly journal published by MDPI.
Deadline for manuscript submissions: 28 February 2015
Special Issue Editors
Guest Editor Dr. Christoph Salge
Adaptive Systems Research Group,University of Hertfordshire, College Lane, AL10 9AB Hatfield, UK
Phone: +44 1707 28 4490 Interests: Intrinsic Motivation (Empowerment); Self-Organization; Guided Self-Organization; Information-Theoretic Incentives for Social Interaction; Information-Theoretic Incentives for Swarms; Information Theory and Computer Game AI
Guest Editor Dr. Georg Martius
Cognition and Neurosciences, Max Planck Institute for Mathematics in the Sciences Inselstrasse 22, 04103 Leipzig, Germany
Phone: +49 341 9959 545 Interests: Autonomous Robots; Self-Organization; Guided Self-Organization; Information Theory; Dynamical Systems; Machine Learning; Neuroscience of Learning; Optimal Control
Guest Editor Dr. Keyan Ghazi-Zahedi
Information Theory of Cognitive Systems, Max Planck Institute for Mathematics in the Sciences Inselstrasse 22, 04103 Leipzig, Germany
Phone: +49 341 9959 535 Interests: Embodied Artificial Intelligence; Information Theory of the Sensorimotor Loop; Dynamical Systems; Cybernetics; Self-organisation; Synaptic plasticity; Evolutionary Robotics
Guest Editor Dr. Daniel Polani
Department of Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
E-Mail: email@example.com Interests: artificial intelligence; artificial life; information theory for intelligent information processing; sensor Evolution; collective and multiagent systems
As many may know or have already heard, Dr. Mike Miller, a retired mathematician from RAND and long-time math professor at UCLA, is offering a course on Introduction to Lie Groups and Lie Algebras this fall through UCLA Extension. Whether you’re a professional mathematician, engineer, physicist, physician, or even a hobbyist interested in mathematics you’ll be sure to get something interesting out of this course, not to mention the camaraderie of 20-30 other “regulars” with widely varying backgrounds (actors to surgeons and evolutionary theorists to engineers) who’ve been taking almost everything Mike has offered over the years (and yes, he’s THAT good — we’re sure you’ll be addicted too.)
Even if it’s been years since you last took Calculus or Linear Algebra, Mike (and the rest of the class) will help you get quickly back up to speed to delve into what is often otherwise a very deep subject. If you’re interested in advanced physics, quantum mechanics, quantum information or string theory, this is one of the topics that is de rigueur for delving in deeply and being able to understand them better. The topic is also one near and dear to the hearts of those in robotics, graphics, 3-D modelling, gaming, and areas utilizing multi-dimensional rotations. And naturally, it’s simply a beautiful and elegant subject for those who have no need to apply it to anything, but who just want to meander their way through higher mathematics for the fun of it (this will comprise the largest majority of the class by the way.)
Whether you’ve been away from serious math for decades or use it every day or even if you’ve never gone past Calculus or Linear Algebra, this is bound to be the most entertaining thing you can do with your Tuesday nights in the fall. If you’re not sure what you’re getting into (or are scared a bit by the course description), I highly encourage to come and join us for at least the first class before you pass up on the opportunity. I’ll mention that the greater majority of new students to Mike’s classes join the ever-growing group of regulars who take almost everything he teaches subsequently. (For the reticent, I’ll mention that one of the first courses I took from Mike was Algebraic Topology which generally requires a few semesters of Abstract Algebra and a semester of Topology as prerequisites. I’d taken neither of these prerequisites, but due to Mike’s excellent lecture style and desire to make everything comprehensible, I was able to do exceedingly well in the course.) I’m happy to chat with those who may be reticent. Also keep in mind that you can register to take the class for a grade, pass/fail, or even no grade at all to suit your needs/lifestyle.
As a group, some of us have a collection of a few dozen texts in the area which we’re happy to loan out as well. In addition to the one recommended text (Mike always gives such comprehensive notes that any text for his classes is purely supplemental at best), several of us have also found some good similar texts:
Given the breadth and diversity of the backgrounds of students in the class, I’m sure Mike will spend some reasonable time at the beginning [or later in the class, as necessary] doing a quick overview of some linear algebra and calculus related topics that will be needed later in the quarter(s).
Further information on the class and a link to register can be found below. If you know of others who might be interested in this, please feel free to forward it along – the more the merrier.
I hope to see you all soon.
Introduction to Lie Groups and Lie Algebras
MATH X 450.6 / 3.00 units / Reg. # 249254W
Professor: Michael Miller, Ph.D.
Start Date: 9/30/2014
Location UCLA: 5137 Math Sciences Building
September 30 – December 16, 2014
11 meetings total (no mtg 11/11)
Register here: https://www.uclaextension.edu/Pages/Course.aspx?reg=249254
A Lie group is a differentiable manifold that is also a group for which the product and inverse maps are differentiable. A Lie algebra is a vector space endowed with a binary operation that is bilinear, alternating, and satisfies the so-called Jacobi identity. This course, the first in a 2-quarter sequence, is an introductory survey of Lie groups, their associated Lie algebras, and their representations. This first quarter will focus on the special case of matrix Lie groups–including general linear, special linear, orthogonal, unitary, and symplectic. The second quarter will generalize the theory developed to the case of arbitrary Lie groups. Topics to be discussed include compactness and connectedness, homomorphisms and isomorphisms, exponential mappings, the Baker-Campbell-Hausdorff formula, covering groups, and the Weyl group. This is an advanced course, requiring a solid understanding of linear algebra and basic analysis.
Click the link, read the stuff and scroll down to “CLICK HERE” to apply. The deadline is 12 November 2014.
Financial support for travel, meals, and lodging is available for workshop attendees who need it. We will choose among the applicants and invite 10-15 of them.
Information theory and entropy methods are becoming powerful tools in biology, from the level of individual cells, to whole ecosystems, to experimental design, model-building, and the measurement of biodiversity. The aim of this investigative workshop is to synthesize different ways of applying these concepts to help systematize and unify work in biological systems. Early attempts at “grand syntheses” often misfired, but applications of information theory and entropy to specific highly focused topics in biology have been increasingly successful. In ecology, entropy maximization methods have proven successful in predicting the distribution and abundance of species. Entropy is also widely used as a measure of biodiversity. Work on the role of information in game theory has shed new light on evolution. As a population evolves, it can be seen as gaining information about its environment. The principle of maximum entropy production has emerged as a fascinating yet controversial approach to predicting the behavior of biological systems, from individual organisms to whole ecosystems. This investigative workshop will bring together top researchers from these diverse fields to share insights and methods and address some long-standing conceptual problems.
So, here are the goals of our workshop:
To study the validity of the principle of Maximum Entropy Production (MEP), which states that biological systems – and indeed all open, non-equilibrium systems – act to produce entropy at the maximum rate.
To familiarize all the participants with applications to ecology of the MaxEnt method: choosing the probabilistic hypothesis with the highest entropy subject to the constraints of our data. We will compare MaxEnt with competing approaches and examine whether MaxEnt provides a sufficient justification for the principle of MEP.
To clarify relations between known characterizations of entropy, the use of entropy as a measure of biodiversity, and the use of MaxEnt methods in ecology.
To develop the concept of evolutionary games as “learning” processes in which information is gained over time.
To study the interplay between information theory and the thermodynamics of individual cells and organelles.
On Friday, I had an excellent and stimulating conversation with Arieh Ben-Naim about his recent writing and work, and he mentioned in passing that he had been invited to a conference relating to entropy and biology in Vienna. A quick websearch found it quickly, and not having heard about it myself yet, I thought I’d pass it along to others who are regular readers and interested in the area.
The workshop on “Entropy in Biomolecular Systems” is being hosted by the Centre Européen de Calcul Atomique et Moléculaire (CECAM)
I’ll note that the registration deadline is on April 21 with a payment deadline of April 30, so check in quickly if you haven’t already.
The summary from the workshop website states:
This workshop brings together the world’s experts to address the challenges of determining the entropy of biomolecular systems, either by experiment or computer simulation. Entropy is one the main driving forces for any biological process such as binding, folding, partitioning and reacting. Our deficient understandng of entropy, however, means that such important processes remain controversial and only partially understood. Contributions of water, ions, cofactors, and biomolecular flexibility are actively examined but yet to be resolved. The state-of-the-art of each entropy method will be presented and explained, highlighting its capabilities and deficiencies. This will be followed by intensive discussion on the main areas that need improving, leading suitable actions and collaborations to address the main biological and industrial questions.
Further details on the workshop can be found on the CECAM website.
Complexity: A Guided Tour
Oxford University Press
May 28, 2009
This book provides an intimate, highly readable tour of the sciences of complexity, which seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. The author, a leading complex systems scientist, describes the history of ideas, current research, and future prospects in this vital scientific effort.
This is handily one of the best, most interesting, and (to me at least) the most useful popularly written science books I’ve yet to come across. Most popular science books usually bore me to tears and end up being only pedantic for their historical backgrounds, but this one is very succinct with some interesting viewpoints (some of which I agree with and some of which my intuition says are terribly wrong) on the overall structure presented.
For those interested in a general and easily readable high-level overview of some of the areas of research I’ve been interested in (information theory, thermodynamics, entropy, microbiology, evolution, genetics, along with computation, dynamics, chaos, complexity, genetic algorithms, cellular automata, etc.) for the past two decades, this is really a lovely and thought-provoking book.
At the start I was disappointed that there were almost no equations in the book to speak of – and perhaps this is why I had purchased it when it came out and it’s subsequently been sitting on my shelf for so long. The other factor that prevented me from reading it was the depth and breadth of other more technical material I’ve read which covers the majority of topics in the book. I ultimately found myself not minding so much that there weren’t any/many supporting equations aside from a few hidden in the notes at the end of the text in most part because Dr. Mitchell does a fantastic job of pointing out some great subtleties within the various subjects which comprise the broader concept of complexity which one generally would take several years to come to on one’s own and at far greater expense of their time. Here she provides a much stronger picture of the overall subjects covered and this far outweighed the lack of specificity. I honestly wished I had read the book when it was released and it may have helped me to me more specific in my own research. Fortunately she does bring up several areas I will need to delve more deeply into and raised several questions which will significantly inform my future work.
In general, I wish there were more references I hadn’t read or been aware of yet, but towards the end there were a handful of topics relating to fractals, chaos, computer science, and cellular automata which I have been either ignorant of or which are further down my reading lists and may need to move closer to the top. I look forward to delving into many of these shortly. As a simple example, I’ve seen Zipf’s law separately from the perspectives of information theory, linguistics, and even evolution, but this is the first time I’ve seen it related to power laws and fractals.
I definitely appreciated the fact that Dr. Mitchell took the time to point out her own personal feelings on several topics and more so that she explicitly pointed them out as her own gut instincts instead of mentioning them passingly as if they were provable science which is what far too many other authors would have likely done. There are many viewpoints she takes which I certainly don’t agree with, but I suspect that it’s because I’m coming at things from the viewpoint of an electrical engineer with a stronger background in information theory and microbiology while hers is closer to that of computer science. She does mention that her undergraduate background was in mathematics, but I’m curious what areas she specifically studied to have a better understanding of her specific viewpoints.
Her final chapter looking at some of the pros and cons of the topic(s) was very welcome, particularly in light of previous philosophic attempts like cybernetics and general systems theory which I (also) think failed because of their lack of specificity. These caveats certainly help to place the scientific philosophy of complexity into a much larger context. I will generally heartily agree with her viewpoint (and that of others) that there needs to be a more rigorous mathematical theory underpinning the overall effort. I’m sure we’re all wondering “Where is our Newton?” or to use her clever aphorism that we’re “waiting for Carnot.” (Sounds like it should be a Tom Stoppard play title, doesn’t it?)
I might question her brief inclusion of her own Ph.D. thesis work in the text, but it did actually provide a nice specific and self-contained example within the broader context and also helped to tie several of the chapters together.
My one slight criticism of the work would be the lack of better footnoting within the text. Though many feel that footnote numbers within the text or inclusion at the bottom of the pages detracts from the “flow” of the work, I found myself wishing that she had done so here, particularly as I’m one of the few who actually cares about the footnotes and wants to know the specific references as I read. I hope that Oxford eventually publishes an e-book version that includes cross-linked footnotes in the future for the benefit of others.
I can heartily recommend this book to any fan of science, but I would specifically recommend it to any undergraduate science or engineering major who is unsure of what they’d specifically like to study and might need some interesting areas to take a look at. I will mention that one of the tough parts of the concept of complexity is that it is so broad and general that it encompasses over a dozen other fields of study each of which one could get a Ph.D. in without completely knowing the full depth of just one of them much less the full depth of all of them. The book is so well written that I’d even recommend it to senior researchers in any of the above mentioned fields as it is certainly sure to provide not only some excellent overview history of each, but it is sure to bring up questions and thoughts that they’ll want to include in their future researches in their own specific sub-areas of expertise.
As an electrical engineer (in the subfields of information theory and molecular biology), I have to say that I’m very intrigued by the articles (1, 2) that Marc Parry has written for the Chronicle in the past few weeks on the subjects of quantitative history, cliometrics/cliodynamics, or what I might term Big History (following the tradition of David Christian; I was initially turned onto it by a Chronicle article). I have lately coincidentally been reading Steven Pinker’s book “The Better Angels of Our Nature” as well as Daniel Kanheman’s “Thinking, Fast and Slow”. (I’ll also mention that I’m a general fan of the work of Jared Diamond and Matt Ridley who impinge on these topics as well.)
I’m sure that all of these researchers are onto something in terms of trying to better quantify our historical perspectives in using science and applying it to history. I think the process might be likened to the ways in which methods of computed tomography, P.E.T., S.P.E.C.T, et al have been applied to the areas of psychology since the late 70’s to create the field of cognitive neuropsychology which has now grown much more closely to the more concrete areas of neurophysiology within biology, chemistry, and medicine.
I can see both sides of the “controversy” which is mentioned in the articles as well as in the comments in all of the articles, but I have a very visceral gut feeling that they can be ironed out over time. I say this as areas like behavioral economics which have grown out of the psychology work mentioned in Kahneman’s book become more concrete. The data available for application with relation to history will be much more useful as people’s psychological interactions with their surroundings are better understood. People in general are exceptionally poor at extrapolating statistical knowledge of the world around them and putting it into the best use. For example, although one can make an accurate calculation of the time-value of money, most people who know it won’t use it to determine the best way of taking a large lottery payout (either a lump sum or paid out over time), and this doesn’t even take into consideration the phenomenal odds against even playing the lottery in the first place. Kahneman’s system 1 and system 2 structures in conjunction with more historical data and analysis of the two in conjunction may be a far better method than either that of historians’ previous attempts or that of the quantitative method separately. Put into mathematical terms, it’s much more likely the case that human interactions follow a smaller local min-max curve/equation on a limited horizon, but do not necessarily follow the global maxima and minima that are currently being viewed at the larger scales of big history. We’ll need to do a better job of sifting through the data and coming up with a better interpretation of it on the correct historical scales for the problem at hand.
Perhaps, by analogy, we might look at this disconnect between the two camps as the same type of disconnect seen in the areas of Newtonian and quantum physics. They’re both interlinked somehow and do a generally good job of providing accurate viewpoints and predictions of their own sub-areas, but haven’t been put together coherently into one larger catch-all theory encompassing both. Without the encouragement of work in the quantitative areas of history, we’ll certainly be at a great disadvantage.
David Christian, a trained historian, is one of the leading proponents of the relatively new concept of Big History, which I view as a sea-change in the way humans will begin to view not only the world but our place in it and what we might expect to come in the future. His work presents a truly monumental and profound thesis and a drastically new framework for where humankind fits into the universe. Of the broad variety of works I’ve read in the past several decades, it is simply one of the most interesting and cohesive theses I’ve come across, and I highly and unreservedly recommend it to everyone I know. I’d put it on par or above works like Jared Diamond’s Guns, Germs, and Steel and Matt Ridley’s The Rational Optimistamong others for its broad impact on how I now view the world. For scientists and researchers it has the potential to be the philosophical equivalent of The Bible and in fact, like many religious texts, it is in effect a modern day “creation myth,” albeit one with a scientific underpinning.
Christian’s work was initially brought to my attention by an article in the Chronicle of Higher Education by Jeffrey R. Young in which he mentioned that Bill Gates was a big fan of Christian’s work and had recommended it himself at a TED conference. (Gates is now also a financial supporter of Christian’s Big History Project.) I myself was aware of the Learning Company’s generally excellent coursework offerings and within a few weeks got an audio copy of the course of forty-eight lectures to listen to on my daily commute.
I’ve now devoured both his rather large text on the subject as well as a lecture series he created for a course on the subject. Below are brief reviews of the two works.The magnum written opus Maps of Time: An Introduction to Big History is an interesting change of reference from a historical perspective combining the disciplines of physics, cosmology, astronomy, geology, chemistry, microbiology, evolutionary theory, archaeology, politics, religion, economics, sociology, and history into one big area of contiguous study based upon much larger timescales than those traditionally taken in the study of historical time periods. Though it takes pieces from many disciplines, it provides for an interesting, fresh, and much needed perspective on who humans are and their place in not only the world, but the entire universe.
By looking at history from a much broader viewpoint (billions of years versus the more common decades or even just a few centuries) one comes away with a drastically different perspective on the universe and life.
I’d highly recommend this to any general reader as early as they can find time to read through it, particularly because it provides such an excellent base for a variety of disciplines thereby better framing their future studies. I wish I had been able to read this book in the ninth or tenth grade or certainly at the latest by my freshman year in college – alas the general conception of the topic itself didn’t exist until after I had graduated from university.
Although I have significant backgrounds in most, if not all, of the disciplines which comprise the tapestry of big history, the background included in the book is more than adequate to give the general reader the requisite introductions to these subjects to make big history a coherent subject on its own.
This could be an extremely fundamental and life-changing book for common summer reading programs of incoming college freshman. If I could, I would make it required reading for all students at the high school level. Fortunately Bill Gates and others are helping to fund David Christian’s work to help introduce it more broadly at the high school and other educational levels.
Within David Christian’s opus, there is also a collection of audio lectures produced by The Learning Company as part of their Great Courses series which I listened to as well. The collection of forty-eight lectures is entitled Big History: The Big Bang, Life on Earth, and the Rise of Humanity (Great Courses, Course No. 8050). It provides a much quicker philosophical overview of the subject and doesn’t delve as deeply into the individual disciplines as the text does, but still provides a very cohesive presentation of the overall thesis. In fact, for me, the introduction to the topic was much better in these audio lectures than it was in the written book. Christian’s lecture style is fantastic and even better than his already excellent writing style.
In the audio lectures Christian highlights eight major thresholds which he uses as a framework by which to view the 13.4 billion years of history which the Universe has presently traversed. Then within those he uses the conceptualization of disparities in power/energy as the major driving forces/factors in history in a unique and enlightening way which provides a wealth of perspective on almost every topic (scientific or historical) one can consider. This allows one to see parallels and connections between seemingly disparate topics like the creations of stars and the first building of cities or how the big bang is similar to the invention of agriculture.
I can easily say that David Christian’s works on big history are some of the most influential works I’ve ever come across – and having experienced them, I can never see our universe in the same naive way again.
For those interested in taking a short and immediate look at Christian’s work, I can recommend his Ted Talk “The History of Our World in 18 Minutes” which only begins to scratch the surface of his much deeper and profound thesis:
Given how profound the topic of big history is, I’m sure I’ll be writing about and referring to it often. Posts in relation to it can be found here with the tag: “big history“.
In Big History and the Future of Humanity, Fred Spier has built on an earlier work of his and on the work of Eric Chaisson to produce what is currently by far the most sophisticated attempt to construct a thematic scaffolding for big history. He carefully links the idea of increasing complexity with the associated themes of energy flows and the idea of goldilocks conditions—the notion that complexity can increase only under very special conditions and within quite exacting “boundary conditions.” Here are broad theoretical ideas that can help give greater depth and coherence to the story told within big history.
Highlight (yellow) – Location 443
big history promises to open up exciting new research agendas (including the meaning of complexity and energy flows, and the role of information across many disciplines),
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Introduction: A Modern Creation Myth?
sociologist Émile Durkheim referred to as “anomie”: the sense of not fitting in,
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Russian matryoshka doll
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Accounts of the past that focus primarily on the divisions between nations, religions, and cultures are beginning to look parochial and anachronistic—even dangerous.
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Chaisson, Eric J. Cosmic Evolution: The Rise of Complexity in Nature. Cambridge, Mass.: Harvard University Press, 2001.
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Margulis, Lynn, and Dorion Sagan. Microcosmos: Four Billion Years of Microbial Evolution. London: Allen and Unwin, 1987.
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Maynard Smith, John, and Eörs Szathmáry. The Origins of Life: From the Birth of Life to the Origins of
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Spier, Fred. The Structure of Big History: From the Big Bang until Today. Amsterdam: Amsterdam University Press, 1996.
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Part I: The Inanimate Universe
Highlight (green) – 1. The First 300,000 Years: Origins of the Universe, Time, and Space > Location 907
This is very much how modern nuclear physics views the idea of a vacuum: it is empty but can nevertheless have shape and structure, and (as has been proved in experiments with particle accelerators) “things” and “energies” can pop out of the emptiness.
Highlight (yellow) – 1. The First 300,000 Years: Origins of the Universe, Time, and Space > Location 923
Popol Vuh, or “Council Book,” a sixteenth-century Mayan manuscript,
Highlight (green) – 1. The First 300,000 Years: Origins of the Universe, Time, and Space > Location 927
Dr. Lightfoot from Cambridge “proved” that God had created humans at exactly 9:00 AM on 23 October 4004 BCE.13
Highlight (yellow) – 1. The First 300,000 Years: Origins of the Universe, Time, and Space > Location 992
The particles that did find a partner were transformed into pure energy,
Highlight (yellow) – 1. The First 300,000 Years: Origins of the Universe, Time, and Space > Location 1088
Perhaps this is where dark matter and energy are hiding?
As an anonymous wit is supposed to have put it: “Hydrogen is a light, odorless gas which, given enough time, changes into people.”25
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The idea that form and matter are different expressions of the same underlying essence was proposed by the Italian Giordano Bruno as early as 1584, in a book called Concerning the Cause, Principle, and One.
Highlight (yellow) – 1. The First 300,000 Years: Origins of the Universe, Time, and Space > Location 1134
Eric Chaisson’s Cosmic Evolution (2001) is an attempt to think through the meaning of order and entropy at many different scales, from stars to microbes,
Highlight (green) – 1. The First 300,000 Years: Origins of the Universe, Time, and Space > Location 1394
The second law of thermodynamics ensures that all complex entities will eventually die; but the simpler the structure, the better its survival chances, which is why stars live so much longer than humans
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Even in the densest part of the galaxy, the disk, regions of empty space normally contain only about one atom in each cubic centimeter. But in the earth’s atmosphere, there may be 25 billion billion molecules in the same space.15 And pouring though this matter is the energy emitted every second by the Sun. In other words, human history has taken place in a pocket of the universe that is dense in matter and packed with energy. It is the extraordinary richness and complexity of this environment that made life possible.
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A Danish scientist, Nicholas Steno, first argued that fossils were the remains of organisms that had once lived on earth.
Highlight (yellow) – 3. Origins and History of the Earth > Location 1991
Charles Lyell first stated clearly what came to be known as the principle of uniformitarianism.
Highlight (yellow) – 3. Origins and History of the Earth > Location 1999
As the English philosopher Francis Bacon pointed out in 1620, it was easy to see from these maps that the continents looked like pieces of a jigsaw puzzle. This similarity was most striking when the west coast of Africa was matched up with the east coast of South America.
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The idea that the continents really had drifted apart was given a thorough scientific basis in a book called The Origin of Continents and Oceans, written in 1915 by a German geographer, Alfred Wegener.
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uppermost layer of the earth (the lithosphere) consists of a number of rigid plates, like a cracked eggshell. There are eight large plates and seven smaller ones, as well as smaller slivers of material.
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Part II: Life On Earth
“The unfolding of events in the life cycle of an organism exhibits an admirable regularity and orderliness, unrivalled by anything we meet with in inanimate matter.”
Highlight (yellow) – 4. The Origins of Life and the Theory of Evolution > Location 2158
In Schrödinger’s famous phrase, each living organism seems to have an astonishing capacity for “continually sucking orderliness from its environment.”
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Unlike stars or crystals, which are general, all-purpose antientropy machines, …
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Think of homoestasis vs longevity
Darwin rarely used the term evolution, perhaps because it seems to imply some sort of mystical force that drives biological change in particular directions and thus would contradict his own view of biological change as a more open-ended process.
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Herbert Spencer, who did the most to popularize the term,
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Erasmus Darwin, suggested that species evolved so as to adapt better to their environments.
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In a book first published in 1809, the French naturalist Jean-Baptiste Lamarck suggested a possible mechanism. Perhaps minor changes acquired during a creature’s lifetime could somehow be passed on to its descendants.
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Time we spend in the gym does not guarantee that our children will be fit.
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Though epigenitics may be at work; see the studies of weight of self vs peers from c. 2010
Evolution works in fits and starts, according to the modern theory of “punctuated evolution,’ which was proposed by Niles Eldridge and Stephen Jay Gould in 1972.
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1920s by Alexander Oparin and J. B. S. Haldane, uses the basic ideas of evolutionary theory to explain not just the evolution of life on earth but also its initial appearance.
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But precisely how chemical evolution generated the first living organisms remains unclear. To understand these difficulties, we must break the problem into several levels. First, we need to explain how the basic raw materials of life were created: the chemical level. Second, we need to explain how these simple organic materials were assembled into more complex structures. Finally, we need to explain the origins of the precise mechanisms of reproduction encoded in the DNA that is present in all living organisms today. At present, we have reasonably good answers to the first question; we have plausible answers to the second question; and we are still puzzled by the third question.
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Harold Urey and his graduate student, Stanley Miller.
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Fred Hoyle and Chandra Wickramasinghe have argued that Earth was seeded with life from outside. This theory is known as Panspermia.
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A. G. Cairns-Smith has suggested that in shallow water, tiny crystals of clay may have provided a template for the formation of more complex molecules.
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Humans do not have the 60,000 to 80,000 genes we once believed were necessary to construct us but half that number, about 30,000. Roundworms have two-thirds as many genes as us (ca. 19,000), and fruit flies just under half (ca. 13,000); even Escherichia coli, a bacterium that inhabits our gut, may have as many as 4,000 genes. So, though constructing large organisms is tougher than constructing small organisms, the difference is not as great as we once imagined.
Highlight (yellow) – 5. The Evolution of Life and the Biosphere > Location 2782
It would seem that we’re not really becoming that more complex from a relative perspective here. What is the next major jump on the hockey stick?
As Margulis and Sagan put it: “For the macrocosmic size, energy, and complex bodies we enjoy, we trade genetic flexibility.”
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The first extensive fossil evidence of multicellular organisms dates from the Ediacaran era, ca. 590 million years ago. But the fossil record of multicellular organisms really becomes abundant during the Cambrian era, from ca. 570 million years ago.
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In the middle of the nineteenth century, the German biologist Ernst Haeckel suggested that all single-celled organisms be classified within a separate kingdom of Protista. Then, in the 1930s, biologists realized that there was a fundamental difference between cells with nuclei and those without. As a result, they began to divide all organisms into two distinct kingdoms, the Prokaryota (organisms whose cells had no nuclei) and the Eukaroyta (organisms whose cells had nuclei). In some systems, the Eukaryota also include all multicellular organisms. In the second half of the twentieth century, powerful arguments emerged for the creation of separate kingdoms for fungi and for viruses (which are so simplified that they cannot even reproduce without hijacking the metabolic systems of other organisms). In the 1990s, Carl Woese proposed a new large classification to distinguish between the archaea and other forms of bacteria. Like all prokaryotes, archaea do not have nuclei; but unlike other prokaryotes they take in energy neither from sunlight nor from oxygen but from other chemicals.
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John Maynard Smith and Eörs Szathmáry’s The Origins of Life (1999) is a history of life on Earth, constructed around the central idea of the evolution of complexity.
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Part III: Early Human History: Many Worlds
Net primary productivity (NPP) is that portion of energy from sunlight that enters the food chain through photosynthesis and is turned into plant material.
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This means that the impact of human history will be visible on scales of at least a billion years.
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new ways of extracting resources from their environments.
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We have seen that the emergence of new forms of complexity always involves the creation of large structures within which previously independent entities are locked into new forms of interdependence and new rules of cooperation.7 Following this hint, we should expect to find that the transition to human history is primarily marked not by a change in the nature of humans as individuals but rather by a change in the way individuals relate to each other.
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In an article first published in 1967, two biochemists working in the United States, Vincent Sarich and Alan Wilson, argued that much genetic change is subject to similar rules.
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another possible candidate for the oldest hominine, Ardipithecus ramidus kadabba,
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It is possible that tool use evolved through a process known as Baldwinian adaptation (named after the nineteenth-century American psychologist who first described it systematically). This is a form of evolutionary change that appears to combine Darwinian and cultural elements, because behavioral changes lead to changes in an animal’s lifeways, thereby creating new selective pressures that lead, over time, to genetic changes.
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the so-called Levallois or Mousterian tools.
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Roger Lewin’s Human Evolution (4th ed., 1999)
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Steven Mithen has proposed that a number of once discrete brain modules, some of which may have been present in the earliest hominines, merged quite suddenly—perhaps within the last hundred thousand years—in a sort of linguistic “big bang.”
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The Symbolic Species, Terrence Deacon
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Two factors stand out: the volume and variety of the information being pooled, and the efficiency and speed with which information is shared.
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In a deliberately provocative essay published in 1972, the anthropologist Marshall Sahlins describes the world of the Stone Age as “the original affluent society.”
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In his simple but influential model of social structures, Eric Wolf has suggested that “kin-ordered” societies constitute a major type of human community, one that survives in many different forms even in the modern world.26
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Australian archaeologist Rhys Jones referred to such techniques as “fire stick farming.”39 Fire stick “farmers” deliberately set fire to bushland in regular cycles. In part, their aim was to prevent buildups of combustible material that could lead to hotter and more dangerous fires. But by clearing away underbrush, fire stick farming also encouraged the growth of new plants that, in turn, attracted browsers that could be hunted. Recent research suggests that such techniques may have been used as early as 45,000 years ago.40
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Part IV: The Holocene: Few Worlds
All of recorded human history has taken place within the Holocene interglacial.
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The Trap of Sedentism
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In fact, most of human history (chronologically speaking) has taken place in communities quite innocent of state power. Even in the villages of the early agrarian era, for most people, most of the time, the important relationships were personal, local, and fairly egalitarian. Most households were self-sufficient, and people dealt with each other as people rather than as the representatives of institutions.
Highlight (yellow) – 9. From Power over Nature to Power over People: Cities, States, and “Civilizations” > Location 5442
But exploitation, like symbiosis, is never simple or unambiguous. Like predation in the nonhuman world, it can take more or less brutal forms. Lynn Margulis and Dorion Sagan observe, “In the long run, the most vicious predators, like the most dread disease-causing microbes, bring about their own ruin by killing their victims. Restrained predation—the attack that doesn’t quite kill or does kill only slowly—is a recurring theme in evolution.”
Highlight (yellow) – 9. From Power over Nature to Power over People: Cities, States, and “Civilizations” > Location 5525
irrigation could raise agricultural productivity decisively, which is why irrigation has been one of the most revolutionary of all technological innovations.
Highlight (yellow) – 9. From Power over Nature to Power over People: Cities, States, and “Civilizations” > Location 5674
But population growth itself counts as a form of intensification, for in the era before fossil fuels, the energy resources available to human societies came mostly from human or animal muscle power.
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Inequality is what all top-down theories of state formation predict.
Highlight (yellow) – 9. From Power over Nature to Power over People: Cities, States, and “Civilizations” > Location 5730
as the sociologist Émile Durkheim first suggested, our thinking about the way the universe works often mirrors the way our own societies work.
Highlight (yellow) – 9. From Power over Nature to Power over People: Cities, States, and “Civilizations” > Location 5756
But most were used as sources of stored energy for their owners: where human labor power was as important a source of energy as oil is today, controlling energy meant controlling people. To make slaves more amenable to control, they were often separated at birth from their families. And, like domestic animals, many were deliberately kept in a state of infantile dependence that inflicted a sort of psychic amputation on them—they remained like children, and their helplessness made them easier to control. Both animal and human slaves could be controlled best if kept economically and psychically dependent on their owners.
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Outside the cities, they usually had little authority over the more localized forms of violence used to collect taxes, prosecute offenders or deal with banditry, or right local injustices. These powers were exercised by local elites or kinship groups. For most individuals, the righting of wrongs remained the duty of the household or kin group, which might seek the support of local patrons or officials.
Highlight (yellow) – 9. From Power over Nature to Power over People: Cities, States, and “Civilizations” > Location 6032
Sounds like modern day Muslim middle eastern practice now…
Wolf calls “tributes.” This is justification for regarding societies with states as an entirely new type of social structure. Wolf treats the emergence of what he calls “tribute-taking” societies as a major transformation in the lifeways and the organization of human societies.
Highlight (yellow) – 9. From Power over Nature to Power over People: Cities, States, and “Civilizations” > Location 6127
They include the emergence of dense populations, which generated a complex division of labor that posed new organizational problems, led to increased need for conflict resolution and to more frequent warfare, and encouraged the building of large monumental buildings as well as the creation of some form of writing.
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The demographic dynamism introduced into human history by agriculture ensured that sooner or later, humans, like termites, would face the novel challenge of living in dense communities of their own species. For all the local differences, the solutions humans found in different parts of the world turned out to be remarkably similar to each other—and also strikingly similar to those found by termites and other social insects.
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Marvin Harris’s classic essay, “The Origin of Pristine States” (1978).
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we can think of four main types of societies in this era: three—foragers, independent farmers, and pastoralists—lack states; one—agrarian civilizations—has states.
Highlight (yellow) – 10. Long Trends in the Era of Agrarian “Civilizations” > Location 6226
World historians have become increasingly sensitive to the importance of large systems of interaction, and have often analyzed them using the notion of world-systems. Immanuel Wallerstein, the originator of such theories, argued that particularly in the modern era, it was necessary to analyze not just particular nations or civilizations, but rather the larger networks of power and commerce in which they were entangled, because these networks explained features that could not be explained solely from the internal history of particular regions. Wallerstein called these networks “world-systems,” even though they did not literally embrace the entire world, on the grounds that in many regards they functioned as separate worlds.
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Centers of gravity gave structure and shape to large networks of exchange, while hub regions were more lightweight and were more easily transformed by the exchanges that swept through them. So it was often in hub regions that significant innovations first became important because here was where they could have the greatest impact, while the mass and momentum of centers of gravity ensured that those regions normally changed more slowly.
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During the reign of Sargon of Akkad (who ruled from ca. 2350 BCE for ca. 50 years), we have the first evidence for a new stage in state formation: the appearance of a state controlling several different city-states and their hinterlands.14
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Rein Taagepera has tried to measure the areas ruled by “imperial systems” of Afro-Eurasia at different dates.
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three other factors shaped the pace and nature of innovation in this period: population growth, the expanding activity of states, and increasing commercialization and urbanization.
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Scale as a Source of Innovation
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“the respiration of a social structure.”
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One reason for their immense influence was the overwhelming importance of the agrarian sector. Where most forms of production relied on organic materials and energy sources, agricultural output set limits to the production not just of foodstuffs but also of clothing, housing, energy, productive implements, and even parchment and paper.33 Because agriculture was the main motor of economic growth in the agrarian era, rates of innovation in agriculture dominated medium-term economic, political, and even cultural cycles.
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States as Sources of Accumulation
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The most stable states and the wisest rulers protected the productive base of their societies by taxing lightly, maintaining basic infrastructure, upholding law and order, and encouraging growth in rural populations and agricultural output.
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Thus, an eleventh-century CE Muslim prince from Tabaristan wrote in a book for his son, “Make it your constant endeavor to improve cultivation and to govern well; for understand this truth: the kingdom can be held by the army, and the army by gold; and gold is acquired through agricultural development and agricultural development through justice and equity. Therefore be just and equitable.”50
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Powerful states spent freely on large prestige projects, including cities such as the Achaemenid capital, Persepolis. Such projects were designed to overawe subjects and rivals, but they also provided employment and attracted merchants and artisans.
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In Muscovite history, the reign of Ivan the Terrible offers a horrifying example of the dangers of excessive predation.
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First, elites in tribute-taking societies had to be specialists in coercion and management rather than in production.
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Stable and long-lived polities such as that of China thrived in part because they were rich enough and durable enough to maintain predictable and relatively light levels of taxation, which gave peasants a greater stake in productivity-raising innovations.57
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as Joel Mokyr has argued, technological innovation is unlikely to happen quickly where those who work lack wealth, education, and prestige, and those who are wealthy, educated, and have prestige know nothing about productive work.
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Exchange, Commerce, and Urbanization
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Thus urbanization itself dampened population growth, and it did so most decisively when cities grew fastest.
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Though tributary states normally tolerated and sometimes encouraged commerce, their predatory methods and willingness to resort to force were ever-present threats to the freedoms needed for trade to flourish. There was therefore a fundamental long-term conflict between the methods of tribute takers and those of merchants; and as long as tributary elites dominated political systems, this conflict limited the productivity-raising potential of commercial activity.
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Part V: The Modern Era: One World
Scythians north of the Black Sea more than 2,000 years ago:
But though they are on the whole less violent, personal relations in modern urban communities also lack the intimacy and continuity of those in most traditional societies. Increasingly, they are casual, anonymous, and fleeting. These changes may help explain the loss of a clear sense of values and meaning in modern lives, a subtle and disorienting alteration in the quality of modern life that the French sociologist Émile Durkheim referred to in the late nineteenth century as “anomie.”
The German sociologist Norbert Elias has argued that these changes have reached deep within our psyches, as modern forms of work and time discipline, enforced through the market, have shaped behavior in interpersonal relations, table manners, and attitudes toward sexuality. He has shown how the “emotional economy” typical in the modern world arises out of a relaxation of external restraints combined with an intensification of internal restraints: “The compulsions arising directly from the threat of weapons and physical force gradually diminish, and . . . those forms of dependency which lead to the regulation of the affects [feelings or emotions] in the form of self-control, gradually increase.”
As Daniel Headrick writes: “Knowledge is both cause and effect of economic growth, and the information industry has been the primary cause of the acceleration of technological change in the past 200 years.”
the very nature of most premodern states suggests that as a general rule, in agrarian civilizations tribute-taking generated more wealth and certainly more power than commercial exchanges. This differential helps us understand what might at first appear puzzling: though commercial networks are as old as agrarian civilization, their impact on rates of innovation has been limited until the past two or three centuries. Why, then, did commercial exchanges suddenly become so much more significant in the modern era? Did they reach some critical threshold?
And what then is the next threshold? For think of what the Internet is doing to the entertainment industry and their reticence to go along with it.
Speaking generally, it is the steepness of this gradient of wealth that accounts for capitalism’s remarkable dynamism, just as the large temperature gradient between the Sun and the space surrounding it drives complex processes on Earth.
is the steepness of the gradient that drives wealth so efficiently through capitalist societies and that helps explain why, paradoxically, modern states have to be so much larger and more complex than the states of the tributary world.
So the onus is on the workers to ensure that their labor is productive enough to find a buyer. In this way, the economic lash can stimulate genuine, even creative, self-discipline, whereas the overseer’s whip can generate no more than grudging conformity.
Well-to-do merchants accumulate goods and redouble their profits, while the less well-to-do sit in their shops and sell. They control the markets and daily enjoy their ease in the cities. They take advantage of the pressing needs of the government to sell at twice the normal price. Their sons do not plough or hoe. Their daughters do not raise silkworms or weave. They have fancy clothing and stuff themselves on millet and meat. They earn fortunes while suffering none of the hardships which the farmers suffer. Their wealth enables them to hobnob with princes and marquises, and to dispose of greater power than the officials.29
This quote about 2nd century BCE China sounds a lot like modern day China.
this process was completed by 1279 after the conquest of South China by the Mongols under Kublai Khan. After reunification, two of the three conditions encouraging states to support commercialization (small size and intense rivalries) vanished, and the third (easy access to rich trading systems) lasted only slightly longer.
wealth. The mercantilist policies of European states in the seventeenth century—such as the Navigation Acts of the English commonwealth, which protected British commerce within British colonies—are good examples of new government attitudes toward commerce and the actions that these changes encouraged. Also illustrating this trend is the proliferation throughout Europe of patent laws, which were pioneered in Venice in the fifteenth century. Governments also began to promote innovation through the founding of scientific societies or the offering of prizes.
Over time, commercialization transformed traditional tributary elites. Such transformation was most likely to occur when demands on elite incomes rose sharply in environments where commercial revenues were available for the taking. The English wool trade offers a classic example, for it tempted landowners to clear the land of tenants and replace them with sheep, particularly in the sixteenth century, when new land became available as a result of the dissolution of the monasteries.
the invention in France of the Jacquard loom, which pioneered the use of digital coding as a form of mechanical control (1801);
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As early as 1837, the French revolutionary Blanqui used the term industrial revolution
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For most rural dwellers, these changes were catastrophic.
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This is now what is happening in most of the rest of the world now.
The appearance of societies in which most people depended entirely on markets for their subsistence was a new phenomenon, and it gave a tremendous stimulus to commercial production of goods of mass consumption.
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The idea that atmospheric pressure was a potential source of mechanical power had a history going back at least to the sixteenth century, and it may have been familiar in China as well as in Europe.23
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In 1718, a new owner, Thomas Lombe, in an early example of planned industrial espionage, stole techniques already in use in Italy to set up an improved factory.
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Richard Arkwright’s water frame, James Hargreaves’s spinning jenny, and Samuel Crompton’s spinning mule, a modification of the jenny.24
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Karl Polanyi argues in a classic study of modernity,
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Where literacy spread, knowledge became more abstract and less personal, and abstract knowledge began to acquire an authority quite independent from the prestige of particular teachers.
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In the nineteenth century, beginning in Germany, science itself began to be incorporated into entrepreneurial activity as companies set up laboratories specifically to raise productivity and profits. By the late nineteenth century, scientific research was taking a leading role in processes of innovation that might have simply petered out if they had continued to rely on the technical and practical skills of individual entrepreneurs and artisans.
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Think about how this is done now and how much of it is done by universities instead of by industry. Where is his innovation happening in the future?
The modern world is ruled by larger and more impersonal forces, from faceless bureaucracies to abstractions such as “inflation,” or “the rule of law.” Where abstract forces take over the work of coercion from the landlord, the executioner, and the overseer, it is not surprising that there should emerge cosmologies ruled by equally abstract forces.
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Joel Mokyr, The Lever of Riches (1990),
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Charles Tilly, Coercion, Capital, and European States, AD 990–1992 (rev. ed., 1992), is good on some of the political changes associated with the Industrial Revolution.
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During the “great depression” of the 1870s, it became apparent for the first time that economic growth could falter because of overproduction as well as underproduction.
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Over the following decades, it became clear that in a world of steadily increasing productivity, the problem of finding (or creating) markets would shape the rhythms of economic activity much as the problem of insufficient productivity had done in the agrarian era. As a result, the modern era is dominated by cycles of activity with a different (normally a shorter) periodicity, which we know as business cycles.
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Indeed, lifestyles have changed so greatly that they may be exerting a significant evolutionary impact on human bodies.
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The tensions and dislocations of the hurricane of change affecting the entire globe will ensure that conflict remains endemic, and modern weaponry will ensure that local conflicts continue to cause great suffering.
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Lester Brown argues that “while the Agricultural Revolution transformed the earth’s surface, the Industrial Revolution is transforming the earth’s atmosphere.”
Highlight (yellow) – 14. The Great Acceleration of the Twentieth Century > Location 10049
Part VI: Perspectives On The Future
“With chaos, it is sensitivity to initial conditions that makes the dynamics unpredictable. With emergent properties, it is the general inability of observers to predict the behavior of nonlinear systems from an understanding of their parts and interactions.”
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it is better than doing nothing at all, just as studying the form at a racetrack is better than tossing a coin. In the long run, you will end up with more money if you study the form.
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the space technologies envisioned by the Russian schoolteacher Konstantin Tsiolkovsky, which enabled the first human to leave Earth on 12 April 1961 and the first human to land on another heavenly body on 21 July 1969,
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Appendix 2: Chaos and Order
But the patterns we detect are really there, and their existence is one of the great puzzles of the universe. Why is there order of any kind? And what rules allow the creation and evolution of ordered structures?
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On Earth, the temperature differential between our sun and surrounding space provides the free energy needed to create most forms of complexity, including ourselves; energies created early in the history of our solar system drive the internal heat battery of Earth, which drives plate tectonics. These differentials enable energy to flow, and energy flows make patterns possible. And given enough time, the mere possibility of pattern makes it likely that patterns of many different kinds will eventually appear.
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After the first problem—explaining how order of any kind is possible—is addressed, the second problem remains. How did complex entities emerge, and, once they had emerged, how did they sustain themselves long enough to be noticed by us (or to be us)?
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Paradoxically, the tendency toward increasing entropy—the drive toward disorder—may itself be the engine that creates order.
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The drive toward disorder seems to create new forms of order, just as the energy of falling water can cause droplets of water to splash upward, or a river’s current can create eddies in which small amounts of water flow against the main current.
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Roughly speaking, the more complex a phenomenon is, the denser the energy flows it must juggle and the more likely it is to break down. So we should expect that as entities become more complex, they become less stable, shorter-lived, and rarer. Perhaps even a slight increase in complexity can sharply increase their fragility and, therefore, their scarcity.
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What we can do is to describe some of the ways in which complex structures emerge. The fundamental rule seems to be that complexity normally emerges step by step, linking already existing patterns into larger and more complex patterns at different scales.
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new rules of construction and change seem to come into play. These are known as emergent properties,
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“Leibig’s Law of the Minimum . . . states that populations will be limited by critical resources (e.g., water) that are in shortest supply” (Allen W. Johnson and Timothy Earle, The Evolution of Human Societies, 2nd ed. [Stanford: Stanford University Press, 2000], pp. 14–15).
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articles, “Immunological Time Scale for Hominid Evolution”; it was published in Science, 1 December 1967, pp. 1200–1203.
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There is a good short survey of theories of growth in J. L. Anderson, Explaining Long-Term Economic Change (Basingstoke: Macmillan, 1991); and see the survey in Mokyr, The Lever of Riches, chap. 7 (“Understanding Technological Progress”).
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Guide to highlight colors
Yellow–general highlights and highlights which don’t fit under another category below Orange–Vocabulary word; interesting and/or rare word Green–Reference to read Blue–Interesting Quote Gray–Typography Problem Red–Example to work through
Editor’s Note: Data relating to reading progress was added to this post on 10/21/16. Data relating to highlights, quotes, and marginalia added on 10/23/16.