Fuzzy Logic for Cooperative Robot Communication
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Zhu, Dingyun
Gedeon, Tamas (Tom)
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Springer
Abstract
This paper proposes a new approach which applies a recently developed fuzzy technique: Fuzzy Signature to model the communication between cooperative intelligent robots. Fuzzy signature is not only regarded as one of the key solutions to solve the rule explosion in traditional fuzzy inference systems, but also an effective approach for modeling complex problems or systems with a hierarchical structure. Apart from the application of fuzzy signatures, another modeling structure of pattern-matching with possibility calculation is designed for the further intentional inference of cooperative robot communication. By the combination of these two theoretical issues, a codebook for intelligent robot decision making has been developed, as well as its implementation - a Cooperative Robot Communication Simulator.
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Proceedings of International Symposium on Agents and Multiagent Systems (KES-AMSTA 2008)
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2037-12-31