Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework

Authors:
Goran Trajkovski;Georgi Stojanov;Samuel Collins;Vladimir Eidelman;Chris Harman;Giovanni Vincenti
Affiliations:
Laureate Education, Inc., USA;American University in Paris, France;Towson University, USA;Columbia University, USA;Swarthmore College, USA;Towson University, USA
Venue:
International Journal of Agent Technologies and Systems
Year:
2009

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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.