학술논문
An Agent Memory Model Enabling Rational and Biased Reasoning
Document Type
Conference
Source
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02. :193-199
Subject
Language
English
Abstract
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.