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