An Imitation-based Approach to Modeling Homogenous Agents SocietiesAs 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." |
Other editions - View all
An Imitation-Based Approach to Modeling Homogenous Agents Societies Trajkovski, Goran Limited preview - 2006 |
An Imitation-based Approach to Modeling Homogenous Agents Societies Goran Trajkovski Limited preview - 2007 |
An Imitation-based Approach to Modeling Homogenous Agents Societies Goran Trajkovski No preview available - 2007 |
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accumulated a maximum actions active drive agent's associative memory appetitive behavior Artificial Intelligence Associative Memory Chart autonomous agents behavior categorization cell Chapter Chart displays cognitive color communication complex concept formation contingency table Copying or distributing Copyright 2007 create defined distributing in print drive satisfier DriveList electronic forms emergence emotional context entity environment evolving vocabulary example experiment exploratory memory forms without written FreeCell fuzzy lattice goal hormesis human Idea Group Inc IETAL implementation inborn scheme increment approximately interaction interface intrinsic representation Java JavaDoc language learning low-level hardware MASIVE maximum confidence level memory exchange mirror neurons motivations moves per increment multi-agent systems nodes North object observed perceptual aliasing physical features POPSICLE print or electronic problem random relation robot rows schema sensor simulation social Stojanov structure surprise level theory Towson University Trajkovski understanding wall written Figure