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Toward Evolutionary Autonomous Agents (EA2) for computational perception
Liu Jiming; Maluf David A.; Tang Y.Y.
1997-12-01
Source PublicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
Pages3096-3101
AbstractThis paper introduces a new class of Evolutionary Autonomous Agents (EA) that evolve in a digital image environment and emerge (or extract) salient image features. The behavioral repository for the proposed autonomous agents consists of self-reproduction, diffusion, mutation-based search, decay, and cease to exist, each of which is triggered and hence determined by the specific local stimuli of the two-dimensional image environment. The proposed scheme of reproduction-and-diffusion through artificial-environmental selection, when employed as a method of evolutionary computation in image processing, can readily manifest both interesting fixed-point properties and robust behavior capable of dynamically adapting to different digital image environments.
URLView the original
Language英語
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
AffiliationHong Kong Baptist University
Recommended Citation
GB/T 7714
Liu Jiming,Maluf David A.,Tang Y.Y.. Toward Evolutionary Autonomous Agents (EA2) for computational perception[C],1997:3096-3101.
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