论文信息 - An Agent's Action Selection Strategy by Using Case-based Reasoning and Simulated Vision

An Agent's Action Selection Strategy by Using Case-based Reasoning and Simulated Vision

This paper presents an approach to agent's action selection strategy called stepwise case-based reasoning (SCBR). In this paper an agent that roams in 3D synthetic world is called an SCBR agent. An SCBR agent is an entity that selects the next action based on previous interaction experience and on simulated vision. An SCBR agent's interaction experience is represented in the form of two different types of cases: plan cases and contextual cases.

Haris Supic

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