RELATIVE UNCERTAINTY AND EVIDENCE SETS: A CONSTRUCTIVIST FRAMEWORK

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• Luis Mateus Rocha is a Doctorate Candidate at the Department of Systems Science and Industrial Engineering, of the T.J. Watson School of Engineering and Applied Science at the State University of New York at Binghamton, where he works with George Klir and Howard Pattee. Born in Angola in 1966, he moved to Portugal in 1975. After graduating from a Licentiate Degree in Mechanical Engineering and Control Systems in 1990 at I.S.T. in Lisbon, Portugal, he frequented the Msc, in Industrial Engineering at the Staffordshire University. England. He has published and edited several articles in the areas of Fuzzy Logic, Artificial Intelligence. Artificial Life, and Evolutionary Systems. He works on the utilization of formal tools such as Genetic Algorithms, Fuzzy Logic, Interval Computation, Evidence Theory, and Neural Networks in the development of computational models of evolutionary systems with both self-organizing and evolutionary characteristics. He is interested in semiolic and evolutionary constructivisi models of biological and cognitive systems and its applications to complex systems. He has been the recipient of several scholarships by the European Union and the Portuguese Government, as well as several awards such as the best paper award for the 13th European Meeting on Cybernetics and Systems Research in 1996 and the Gordon Pask memorial award.
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