Communicating Affect in a Multi-Agent System

Yasmine Arafa and Abe Mamdani

We describe an operational approach to enabling the computational perception required for automated generation of affective behaviour through inter-agent communication in multi-agent real-time environments. The research is investigating the potential of extending current agent communication languages so as they not only convey the content of knowledge exchange but also so they can communicate affective attitudes about the shared knowledge. Providing a necessary component of the framework required for autonomous agent, with affective behaviour, development with which we may bridge the gap between current research in psychological theory and practical implementation of social multi-agent systems.


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