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.
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© 2001 Springer-Verlag Berlin Heidelberg
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Trajkovski, G. (2001). An Imitation-Based Approach to Modeling Homogenous Agents Societies. In: Brazdil, P., Jorge, A. (eds) Progress in Artificial Intelligence. EPIA 2001. Lecture Notes in Computer Science(), vol 2258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45329-6_25
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DOI: https://doi.org/10.1007/3-540-45329-6_25
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