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
Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework
International Journal of Agent Technologies and Systems
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The project MASIVE (Multi-Agent Systems Interactive Virtual Environments) is the multi-agent extension of our Interactivist-Expectative Theory on Agency and Learning (IETAL). The agents in the environment learn expectations from their interactions with the environment. In addition to that, they are equipped with special sensors for sensing akin agents, and interchange their knowledge of the environment (their intrinsic representations) during their imitation conventions. In this paper we discuss the basics of the theory, and the social consequences of such an environment from the perspective of learning, knowledge dissemination, and emergence of language.