Energy, matter, and entropy in evolutionary computation

Shu Ming Armida Yang*, Chuen-Tsai Sun, Ching Hung Hsu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper is indulged in exploring the general concepts among the paradigms of Computational Intelligence, especially in Evolutionary Computation. From the viewpoint of adaptive complex systems, we generalize the characteristics of Intelligence as Complexity, Evolution, Sympathy, and Adaptation, as well as elaborate their corresponding meanings and approaches in Artificial Intelligence. Furthermore, we introduce the idea of dissipative system in thermodynamics so as to form three concepts penetrating Evolutionary Computation, which are Energy Fluxion, Matter Information, and Entropy Variation. Finally, We briefly discuss the adaptive complexity emerging in the frustrated situation produced by the two converse forces approaching order and chaos respectively, as well as propose the idea of Dissipative Machine for natural evolutionary computation.

Original languageEnglish
Pages196-200
Number of pages5
StatePublished - 1 Jan 1996
EventProceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96 - Nagoya, Jpn
Duration: 20 May 199622 May 1996

Conference

ConferenceProceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96
CityNagoya, Jpn
Period20/05/9622/05/96

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