An Imitation-Based Approach to Modeling Homogenous Agents Societies - Trajkovski, Goran
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Goran Trajkovski is the director of healthcare data analytics at Touro University and a compliance officer at ADGroup, Puerto Rico. A pioneering voice in artificial intelligence since publishing his first AI research paper in 1995, Dr. Trajkovski has dedicated over 30 years to advancing information science in higher education and the edtech industry with specialized focus on assessment and learning analytics. He has authored more than 30 books on AI, analytics, and educational technology, bringing deep expertise in curriculum development and program design to medical analytics instruction. His academic credentials include a Ph.D. in computer sciences with emphasis in cognitive and developmental robotics/artificial intelligence and an M.B.A. in healthcare administration, among other advanced degrees spanning technology and business domains.