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

Author

Supic, Haris

Subjects
*CASE-based reasoning, *COMPUTER simulation, *SIMULATION methods & models, *ARTIFICIAL intelligence, *PROBLEM solving
Abstract

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. [ABSTRACT FROM AUTHOR]

Published
2007