– Goal‐based agents act in order to achieve their goal(s) – Ulity‐based agents maximize their own ulity funcon • Represenng knowledge is important for good agent design • The most challenging environments are parally observable, stochasc, sequenal, dynamic, and connuous, andGoal based agents are commonly more flexible than reflex agents U tility based Reflex Agents Goals alone are not enough to generate high quality behavior in most environments An agent ·s utility function is essentially an international of the performance measure If the internal utility function and the external performa nce measure are in agreement, then an agent that chooses DAYDREAMER is a goalbased agent that models daydreaming, emotions, planning, and serendipity Just give DAYDREAMER some goals and some input events, and it will be off and running in a stream of thought and action, which are monologuized in English DAYDREAMER does many things Some of the most interesting are DAYDREAMER reflects on its past experiences If
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