Building robots with analogy-based anticipation

Authors:
Georgi Petkov;Tchavdar Naydenov;Maurice Grinberg;Boicho Kokinov
Affiliations:
Central and East European Center for Cognitive Science, New Bulgarian University, Sofia, Bulgaria;Central and East European Center for Cognitive Science, New Bulgarian University, Sofia, Bulgaria;Central and East European Center for Cognitive Science, New Bulgarian University, Sofia, Bulgaria;Central and East European Center for Cognitive Science, New Bulgarian University, Sofia, Bulgaria
Venue:
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Year:
2006

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Abstract

A new approach to building robots with anticipatory behavior is presented. This approach is based on analogy with a single episode from the past experience of the robot. The AMBR model of analogy-making is used as a basis, but it is extended with new agent-types and new mechanisms that allow anticipation related to analogical transfer. The role of selective attention on retrieval of memory episodes is tested in a series of simulations and demonstrates the context sensitivity of the AMBR model. The results of the simulations clearly demonstrated that endowing robots with analogy-based anticipatory behavior is promising and deserves further investigation.