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

Mikhail Prokopenko*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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 languageEnglish
Article number6602443
Pages (from-to)140-144
Number of pages5
JournalIEEE Symposium on Artificial Life (ALIFE)
Issue numberJanuary
Publication statusPublished - 2013
Externally publishedYes


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