Synopsis
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 Homogenous 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 Homogenous Agents Societies reaches out to the cognitive sciences, psychology, and anthropology, providing a different perspective on a few classical problems within these fields.
About the Author
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. As the founder and director of the Cognitive Agency and Robotics Laboratory at Towson University, he advises a number of graduate and undergraduate students in research in learning, agency, developmental robotics, and multiagent systems. He is an affiliate of the Institute for Interactivist Studies at Lehigh University, and a member of the organizing committee of the biannual Interactivist Summer Institutes.
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