AFFECT AND AGENT CONTROL: EXPERIMENTS WITH SIMPLE AFFECTIVE STATES

We analyse control functions of affective states in relatively simple agents in a variety of en-vironments and test the analysis in various simulation experiments in competitive multi-agentenvironments. The results show that simple affective states (like “hunger”) can be effective inagent control and are likely to evolve in certain competitive environments. This illustrates themethodology of exploring neighbourhoods in “design space” in order to understand tradeoffs inthe development of different kinds of agent architectures, whether natural or artificial.

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