Emergence: From Chaos to Order

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Oxford University Press, 1998 - Artificial intelligence - 258 pages
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In Emergence, Holland demonstrates that a small number of rules of laws can generate systems of surprising complexity. Board games provide an ancient and direct example: Chess is defined by fewer than two dozen rules, but the myriad patterns that result lead to perpetual novelty and emergence. It took centuries of study to recognize certain patterns of play, such as the control of pawn formations. But once recognized, these patterns greatly enhance the possibility of winning the game. The discovery of similar patterns in other facets of our world opens the way to a deeper understanding of the complexity of life, answering such questions as: How does a fertilized egg program the development of a trillion-cell organism? How can we build human organizations that respond rapidly to change through innovation? Throughout the book, Holland compares different systems and models that exhibit emergence in the quest for common rules or laws.

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LibraryThing Review

User Review  - MyopicBookworm - LibraryThing

I have to say that I found this book less interesting than I had hoped. Coming to it with a biologist's interest in the emergence of complexity from simple systems, I found its detailed discussion of ... Read full review

Emergence: from chaos to order

User Review  - Not Available - Book Verdict

Emergence, where simple systems generate complex ones, is a fundamental concept in many modern scientific theories. Phenomena as diverse as a game of checkers, neural networks, and even the origin of ... Read full review


1 Before we Proceed
2 Games and Numbers
3 Maps Game Theory ComputerBaseil Modeling
4 Checkers
5 Neural Nets
6 Toward a General Setting
7 Constrained Generating Procedures
8 Samuels Checkersplayer and Other Models as Cgp s
9 Variation
10 Levels of Description and Redution
11Metaphor and Innovation

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