Adaptation and learning in animated creatures
Liu Jiming; Tang Y.; Qin Hong; Wu Y.T.
Source PublicationProceedings of the International Conference on Autonomous Agents
AbstractThis 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.
URLView the original
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
AffiliationHong Kong Baptist University
Recommended Citation
GB/T 7714
Liu Jiming,Tang Y.,Qin Hong,et al. Adaptation and learning in animated creatures[C],1997:371-377.
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