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An MFIS for Computing a Raw Cognitive Map

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Cognitive Modeling. Pages 373-379.

Abstract

This paper extends Yeap's [1988] computational theory of cognitive maps, focusing on the problem of computing a raw cognitive map by an autonomous agent. In addition to having a 150° view of the environment as input, the agent also maintains a representation of her immediate surroundings. This representation is referred to as an MFIS, a Memory For one's Immediate Surroundings. Arguments for the use of the MFIS are presented. The main questions that we ask in implementing our ideas are: (i) what frame of reference is appropriate for the MFIS? and (ii) how does the MFIS change as the agent moves through the environment? A program has been implemented successfully and the main algorithms used and the results of running the program are presented.

Wai K. Yeap, Margaret E. Jefferies, and P. S. Naylor. 1991. An MFIS for Computing a Raw Cognitive Map. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 373–379. https://ijcai.org/proceedings/1991/56
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