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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 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.
This is a digital product.
An Imitation-Based Approach to Modeling Homogenous Agents Societies is written by Goran Trajkovski and published by Idea Group Publishing. The Digital and eTextbook ISBNs for An Imitation-Based Approach to Modeling Homogenous Agents Societies are 9781591408413, 1591408415 and the print ISBNs are 9781591408390, 1591408393.


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