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Book Chapter
An Imitation-Based Approach to Modeling Homogenous Agents Societies
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 2258/2001
Book
Progress in Artificial Intelligence
DOI
10.1007/3-540-45329-6
Copyright
2001
ISBN
978-3-540-43030-8
DOI
10.1007/3-540-45329-6_25
Pages
246-252
Subject Collection
Computer Science
SpringerLink Date
Monday, January 01, 2001
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An Imitation-Based Approach to Modeling Homogenous Agents Societies
Goran Trajkovski
2
(2)
West Virginia University - P, 300 Campus Drive, 26104 Parkersburg, WV, USA
Abstract
The present paper concentrates on one modeling approach for homogenous societies of agents in a given environment. It is an extension of the existing Interactivist-Expectative Theory on Agency and Learning to multiagent environments. The uniagent theory’s key phrases are expectancy and learning through interactions with the environment. Motivated by the research done in the domain of imitation in humans, this paper introduces learning by imitation through interaction between akin agents. The social consequences of such an environment from the perspective of learning and emergence of language are discussed as well.
Goran
Trajkovski
Email:
Goran.Trajkovski@mail.wvu.edu
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