Learning of Agents with Limited Resources
نویسنده
چکیده
In this paper we present our preliminary investigation of rational agents who can learn from their experience. We claim that such agents need to combine at least three attributes – deductive reasoning based on currently possessed knowledge, inductive learning from their history, and awareness of passing time (including the necessity to commit computational resources to tasks which need to be carried out). We analyze how those aspects interact and initiate discussion of whether it is feasible, with current technology in each of the related fields, to combine them in a valuable way.
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