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.
|Number of pages||5|
|State||Published - 1 Jan 1996|
|Event||Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96 - Nagoya, Jpn|
Duration: 20 May 1996 → 22 May 1996
|Conference||Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96|
|Period||20/05/96 → 22/05/96|