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Planning Rational Behavior of Cognitive Semiotic Agents in a Dynamic Environment
This paper presents a general architecture of a cognitive semiotic agent acting in a dynamic environment. A new implementation and integration of the agent planning and learning modules are proposed to solve the symbol grounding problem. We suggest a new approach to describing the semantic level of...
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Published in: | Scientific and technical information processing 2021-12, Vol.48 (6), p.502-516 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | This paper presents a general architecture of a cognitive semiotic agent acting in a dynamic environment. A new implementation and integration of the agent planning and learning modules are proposed to solve the symbol grounding problem. We suggest a new approach to describing the semantic level of components of the sign-based world view. The approach is used as basic for generating rational agent behavior. A formal definition of the behavior script and its use in generating the action plan of a rational agent are proposed. In conclusion, we describe a model experiment that showcases the work of a semiotic agent in a game environment. |
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ISSN: | 0147-6882 1934-8118 |
DOI: | 10.3103/S0147688221060113 |