Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework

Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework
View Sample PDF
Author(s): Goran Trajkovski (Laureate Education, Inc., USA), Georgi Stojanov (American University in Paris, France), Samuel Collins (Towson University, USA), Vladimir Eidelman (Columbia University, USA), Chris Harman (Swarthmore College, USA) and Giovanni Vincenti (Towson University, USA)
Copyright: 2009
Volume: 1
Issue: 1
Pages: 24
Source title: International Journal of Agent Technologies and Systems (IJATS)
DOI: 10.4018/jats.2009010104


View Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework on the publisher's website for pricing and purchasing information.


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.

Related Content

Pinki Sharma, Jyotsna Sengupta, P. K. Suri. © 2019. 17 pages.
Sukhdev Singh, Chander Kant. © 2019. 7 pages.
Sahil Chhabra, Neeraj Kumar Jain, Vipin Tomar. © 2019. 9 pages.
Alankrita Aggarwal, Deepak Chatha. © 2019. 10 pages.
Smiley Gupta, Jagtar Singh. © 2019. 10 pages.
Meenakshi Sharma, Sonia Thind. © 2019. 10 pages.
Jimmy Singla. © 2019. 9 pages.
Body Bottom