DocumentCode :
3088708
Title :
Information dynamics at the edge of chaos: Measures, examples, and principles
Author :
Prokopenko, Mikhail
Author_Institution :
Inf. & Commun. Technol. Centre, CSIRO, Epping, NSW, Australia
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
140
Lastpage :
144
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.
Keywords :
artificial life; cellular automata; chaos; information theory; robots; cellular automata; chaos; complex artificial life systems; information dynamics; modular robotics; random Boolean networks; swarming behavior; thermodynamic interpretations; Complexity theory; Educational institutions; Entropy; Robot kinematics; Thermodynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Life (ALIFE), 2013 IEEE Symposium on
Conference_Location :
Singapore
ISSN :
2160-6374
Type :
conf
DOI :
10.1109/ALIFE.2013.6602443
Filename :
6602443
Link To Document :
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