Adaptation and learning in animated creatures

Jiming LIU*, Y. Tang, Hong Qin, Y. T. Wu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

This paper is concerned with synthetic agents interacting with virtual environments, called animated creatures. The animated creatures are articulated graphical figures that are equipped with a set of primitive behavioral patterns. These patterns qualitatively specify which body modules will move concurrently, hence forming a motion group, and which group will move prior to another. The parameterization of these patterns is carried out by the creatures given certain external stimuli. The key to such behavioral adaptation lies in an embedded evolution strategy based selection mechanism. Two examples will be given where this selection mechanism enables a bipedal creature and a six-legged creature to dynamically search for the exact positions as well as duration of body joints as constrained by the qualitatively defined gait patterns. The acquired new stimulus-response pairs are recorded and inserted into a behavioral conditioning network which can be reused and refined during future movements.

Original languageEnglish
Pages371-377
Number of pages7
DOIs
Publication statusPublished - 1997
EventProceedings of the 1997 1st International Conference on Autonomous Agents - Marina del Rey, CA, USA
Duration: 5 Feb 19978 Feb 1997

Conference

ConferenceProceedings of the 1997 1st International Conference on Autonomous Agents
CityMarina del Rey, CA, USA
Period5/02/978/02/97

Scopus Subject Areas

  • Engineering(all)

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