The Automatic Programming of Agents that Learn Mental Models and Create Simple Plans of Action

Abstract

An essential component of an intelligent agent is the ability to notice, encode, store, and utilize information about its environment. Traditional approaches to program induction have focused on evolving functional or reactive programs. This paper presents MAPMAKER, an approach to the automatic generation of agents that discover information about their… (More)

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