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Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework

Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework

Goran Trajkovski, Georgi Stojanov, Samuel Collins, Vladimir Eidelman, Chris Harman, Giovanni Vincenti
Copyright: © 2011 |Pages: 21
ISBN13: 9781609601713|ISBN10: 1609601718|EISBN13: 9781609601737
DOI: 10.4018/978-1-60960-171-3.ch009
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MLA

Trajkovski, Goran, et al. "Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework." Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications, edited by Goran Trajkovski, IGI Global, 2011, pp. 132-152. https://doi.org/10.4018/978-1-60960-171-3.ch009

APA

Trajkovski, G., Stojanov, G., Collins, S., Eidelman, V., Harman, C., & Vincenti, G. (2011). Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework. In G. Trajkovski (Ed.), Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications (pp. 132-152). IGI Global. https://doi.org/10.4018/978-1-60960-171-3.ch009

Chicago

Trajkovski, Goran, et al. "Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework." In Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications, edited by Goran Trajkovski, 132-152. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-171-3.ch009

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Abstract

Fuzzy algebraic structures are a useful and flexible tool for modeling cognitive agents and their societies. In this article we propose a fuzzy algebraic framework where the valuating sets are other than the unit interval (lattices, partially ordered sets or relational structures) . This provides for a flexible organization of the information gathered by the agent (via interactions with the environment and/or other agents) and enables its selected use when different drives are active. Agents (Petitagé, ANNA, POPSICLE and Izbushka), which are instantiations of our model, are also given in order to illustrate the use of this framework, as well as its possible extensions.

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