Information dynamics at the edge of Chaos: Measures, examples, and principles

Mikhail Prokopenko

doi:10.1109/ALIFE.2013.6602443

Information dynamics at the edge of Chaos: Measures, examples, and principles

Mikhail Prokopenko^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

We survey state-of-the-art methods of information dynamics and briefly discuss some of the popular measures, exemplifying their use in different contexts, including cellular automata, swarming behavior, modular robotics, and random Boolean networks. Several possible principles that generalize the patterns observed in the examples are also suggested. These principles are aimed at providing thermodynamic interpretations of critical phenomena exhibited by many complex Artificial Life systems.

Original language	English
Article number	6602443
Pages (from-to)	140-144
Number of pages	5
Journal	IEEE Symposium on Artificial Life (ALIFE)
Volume	2013-January
Issue number	January
DOIs	https://doi.org/10.1109/ALIFE.2013.6602443
Publication status	Published - 2013
Externally published	Yes

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10.1109/ALIFE.2013.6602443

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Information dynamics at the edge of Chaos: Measures, examples, and principles

Abstract

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