As interest in computer, cognitive, and social sciences grow, the need for alternative approaches to models in related-disciplines thrives. An Imitation-Based Approach to Modeling Homogeneous Agents Societies offers a framework for modeling societies of autonomous agents that is heavily based on fuzzy algebraic tools. This publication overviews platforms developed with the purpose of simulating hypotheses or harvesting data from human subjects in efforts for calibration of the model of early learning in humans. An Imitation-Based Approach to Modeling Homogeneous Agents Societies reaches out to the cognitive sciences, psychology, and anthropology providing a different perspective on a few classical problems within these fields.

� propos de l?auteur

Goran Trajkovski is an assistant professor of computer and information sciences at Towson University, USA. He holds a bachelor's degree in Applied Informatics, a master's degree in Mathematical and Computer Sciences, and a Ph.D. degree in the Computer Sciences from the University of ""SS Cyril and Methodius"" in Skopje, Macedonia. Throughout his 10 years in higher education, he has been developing modules and provided training in diversity infusion in the curriculum for faculty in the ""diversity-unfriendly"" disciplines of computer science, IT, natural sciences, and mathematics. He has sat on several panels on this topic. This is Dr. Trajkovski's fourth book, and the first in English.

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