Understanding behaviors of a constructive memory agent: A markov chain analysis
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摘要
This paper describes a Markov chain analysis of the behaviors of a constructive memory agent. It shows that a constructive memory agent behaves based on the knowledge structures that it has learned from its interaction with the environment. The internal reasoning moves from reactive and reflective to reflexive as the agent acquires more experiences that are increasingly grounded.
论文关键词:Constructive memory agent,Markov chain,Design optimization
论文评审过程:Received 13 March 2009, Accepted 10 May 2009, Available online 18 May 2009.
论文官网地址:https://doi.org/10.1016/j.knosys.2009.05.006