Learning as abductive deliberations

Authors:
Budhitama Subagdja;Iyad Rahwan;Liz Sonenberg
Affiliations:
Department of Information Systems, University of Melbourne;Institute of Informatics, The British University in Dubai;Institute of Informatics, The British University in Dubai
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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Abstract

This paper explains an architecture for a BDI agent that can learn based on its own experience. The learning is conducted through explicit procedural knowledge or plans in a goal-directed manner. The learning is described by encoding abductions within the deliberation processes. With this model, the agent is capable of modifying its own plans on the run. We demonstrate that by abducing some complex structures of plan, the agent can also acquire complex structures of knowledge about its interaction with the environment.