Interactionist-expectative view on agency and learning
ITI '96 Selected papers from the 18th international conference on Information technology interfaces
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
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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.