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Big History specifically and purposefully looks at history from a much broader perspective, knowing full well that it's going to miss the complexity of large portions of what is going on at the much smaller scales. But it does this because different structures and ideas emerge at these larger scales. We see different types of things going on that we don't see at the smaller time scales.

If you analogize it to a chess game, there are some very simple and straightforward rules which are responsible for a terribly complex potential number of moves and games to be played. Most history has been studied at the level of "let's take a look at the first three moves of a game of chess" or let's look at the last three moves. This type of close examination doesn't allow for the broader sweeping view of entire games. Both Boris Spassky and a typical four year old could play the same 4 opening chess moves, but the complexity of competing against them diverges rapidly as the game progresses. By looking at the bigger picture, one can better appreciate what is happening later in the game. This also gives one a better platform for analyzing smaller portions of the mid-game as well.

I would suggest that Christian's audio lectures in [book:Big History: The Big Bang, Life On Earth, And The Rise Of Humanity|7956320] do a far better job of showing this viewpoint than his text [book:Maps of Time: An Introduction to Big History|745703].

I would say that big history is anything but "new age-y pseudo-science", and because it is rooted more heavily in physics, cosmology, biology, chemistry, microbiology and various other hard science disciplines, it is actually on more solid grounding than most other history-based courses. Those who have read C.P. Snow will recognize that big history has a grounding in both of the "two cultures" rather than being solely entrenched in just one. It's somewhat akin to taking a complexity theory-based approach to economics compared to the older 18th and 19th century simplified approaches followed by Adam Smith, Keynes, et al well into the 1980's. With approaches to economics exemplified by Kahneman/Tversky or more modern schools like the Santa Fe Institute, there is more being uncovered by shifting paradigms and taking more nuanced approaches to the subject than using the simplifications of the past.

Taking new approaches doesn't necessarily invalidate prior work in these fields, it just provides a broader basis for how all the various parts interact to create a larger whole.

 

Christian is without a doubt a historian through and through, and is quite upfront about his general lack of scientific expertise and background. He has however spent quite a bit of time working with and consulting physicists, chemists, biologists, and other scientists to supplement the appropriate portions of his bigger thesis. I would say though, that he's got firm footing in both of C.P. Snow's "Two Cultures."

Christian references Prigogine only once, though includes two Prigogine related footnotes in the last quarter of the text. He's not as Prigogine-centric as [author:César Hidalgo|13831217] is in his recent [book:Why Information Grows: The Evolution of Order, from Atoms to Economies|25472587], which touches on some of the related physics of information theory and entropy (and general complexity theory - although I don't recall him using this specific term) as they relate to economics. I'd classify Why Information Grows as a "big history" book, though Hidalgo wasn't aware of the conceptualization of "big history" when he wrote it.

I wrote a slightly longer review of Christian's book(s) on my blog: http://boffosocko.com/2012/06/17/big-history/. (Perhaps I'll have to move more detail over into my GoodReads review.)

 

@davidgchristian meet @cesifoti; vice versa. You should be aware of each others' work.

 
 

This seems like an extension of Colin McNamara's post a while back, which Eric Waldstein is quietly referencing by copying the two of us: https://www.yammer.com/bhpteachercommunity/#/Threads/show?threadId=493899391

I'm also reminded of some of the simple examples that Warren Weaver and John Robinson Pierce presented shortly after the publication of Claude Shannnon's seminal work "The Mathematical Theory of Communication" which, because it underpins ALL of the modern day communications revolution (digital communication, computers, satellites, cell phones, etc.) since the 1940's, is often cited (along with religious texts like the Bible, the Koran, etc.) as one of humanity's most influential written works. [http://worrydream.com/refs/Shannon%20-%20A%20Mathematical%20Theory%20of%20Communication.pdf]

Shannon had previously taken George Boole's new "algebra" from the late 1800's (now known as Boolean Algebra, which underpins most of modern logic) and applied it to electronic circuits. Though somewhat technical most advanced high school algebra students should be able to read and understand most of Claude Shannon's MIT master's thesis, which itself is often cited as one of the most influential theses ever written. [http://www.cs.virginia.edu/~robins/Shannon_MS_Thesis.pdf]

In any case, Pierce in particular does some simple exercises relating to language in his book "An Introduction to Information Theory: Symbols, Signals and Noise" [http://www.amazon.com/gp/product/0486240614/ref=as_li_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=0486240614&linkCode=as2&tag=bighistory-20&linkId=ITZN6S4HHWRWDZZB] Amongst a bevy of interesting topics, he has a chapter on "Language and Meaning" as well as examples of the built in redundancy of languages and "error correcting" which mathematically allows us to have crossword puzzles as word games.

This also to some extent, underpins our ability to look at the following paragraph and understand what it says. All the letters have been jumbled (mixed). Only the first and last letter of ecah word is in the right place:

I cnduo't bvleiee taht I culod aulaclty uesdtannrd waht I was rdnaieg. Unisg the icndeblire pweor of the hmuan mnid, aocdcrnig to rseecrah at Cmabrigde Uinervtisy, it dseno't mttaer in waht oderr the lterets in a wrod are, the olny irpoamtnt tihng is taht the frsit and lsat ltteer be in the rhgit pclae. The rset can be a taotl mses and you can sitll raed it whoutit a pboerlm. Tihs is bucseae the huamn mnid deos not raed ervey ltteer by istlef, but the wrod as a wlohe. Aaznmig, huh? Yaeh and I awlyas tghhuot slelinpg was ipmorantt! See if yuor fdreins can raed tihs too.

Pierce's book, while it does have some small amount of math, should be generally readable by most high school students. He also provides a simple model of language in his chapter "A Mathematical Model" which many may find interesting, or be able to pull some interesting examples out of. This particular book is also an excellent example of the intertwining of the ideas of physics, mathematics, engineering, psychology, thermodynamics as well as the ideas of emergence, convergence, and allows for the increased complexity and collective learning that underpins the philosophy of Big History.

 
 

The Evolution of Information Gathering: Operational Constraints by Cynthia F. Kurtz

The Evolution of Information Gathering: Operational Constraints
Cynthia F. Kurtz
1991 Master's Thesis, SUNY Stony Brook, Ecology & Evolution

Abstract: I present two new approaches to the study of information in foraging theory. First, rather than determine the cost a forager should pay to obtain information, I concentrate on the consequences of information use in an interacting population. I describe a density-dependent model which tracks genotypes with high and low information access through evolutionary time. Stable polymorphisms result. I suggest that the value of information is not monotonically increasing. Second, I present a scheme for partitioning the information used in the decision making process. Three types of information are recognized: internal information, or an individual's internal state; external information, or environmental factors; and relational information, or rules for predicting transformations of internal state. Interactions between the three types are examined in an extension of the basic model.

 

21st Century Cities Inititiative @JohnsHopkins http://ustre.am/:4oka4

 
 

@small_societies Thanks for the follow. You're sure to enjoy this article: https://twitter.com/ChrisAldrich/status/613097268288188416 & this list https://twitter.com/ChrisAldrich/lists/complexity

 
 

‘Sleeping beauty’ papers slumber for decades #complexity

Interesting statistics on sleeping papers. There are some cool things going on here...

 

I've updated my list on Twitter: https://twitter.com/ChrisAldrich/lists/complexity
Let me know if I've missed anyone
@ComplexExplorer @cxdig

 

"A few exciting words": information and entropy revisited | Lyn Robinson and David Bawden - Academia.edu

A review is presented of the relation between information and entropy, focusing on two main issues: the similarity of the formal definitions of physical entropy, according to statistical mechanics, and of information, according to information theory; and the possible subjectivity of entropy considered as missing information. The paper updates the 1983 analysis of Shaw and Davis. The difference in the interpretations of information given respectively by Shannon and by Wiener, significant for the information sciences, receives particular consideration. Analysis of a range of material, from literary theory to thermodynamics, is used to draw out the issues. Emphasis is placed on recourse to the original sources, and on direct quotation, to attempt to overcome some of the misunderstandings and oversimplifications that have occurred with these topics. While it is strongly related to entropy, information is neither identical with it, nor its opposite. Information is related to order and pattern, but also to disorder and randomness. The relations between information and the “interesting
complexity,” which embodies both patterns and randomness, are worthy of attention.