Toward Evolutionary Autonomous Agents (EA2) for computational perception

Jiming LIU*, David A. Maluf, Y. Y. Tang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

This paper introduces a new class of Evolutionary Autonomous Agents (EA2) 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.

Original languageEnglish
Pages (from-to)3096-3101
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
Publication statusPublished - 1997
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA
Duration: 12 Oct 199715 Oct 1997

Scopus Subject Areas

  • Control and Systems Engineering
  • Hardware and Architecture

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