An Agent Memory Model Enabling Rational and Biased Reasoning
conference paper
This paper presents an architecture for a memory model that facilitates versatile reasoning mechanisms over the beliefs stored in an agent's belief base. Based on an approach for belief aggregation, a model is introduced for controlling both the formation of abstract and complex beliefs and the retrieval of them based on their activation history. An implementation of the presented mechanisms illustrates how it can be used in intelligent agents that exhibit human-like (biased) reasoning as well as rational reasoning. © 2008 IEEE.
TNO Identifier
23744
Source title
Proceedings of the Seventh IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2008). IEEE Computer Society Press, December 9-12 2008, Sydney Australia.
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