Towards a Conversational Language for Artificial Agents in Mixed Community

نویسندگان

  • Alexandra Berger
  • Sylvie Pesty
چکیده

Present agent and interaction (agent communication language: ACL) models have been conceived for pure artificial agent communities, most often strongly linked with knowledge exchange. But these models are not adapted to conversational interactions, and particularly to mixed community melting artificial and human agents. We first underline these model limitations. We propose a first step towards a conversational agent language fitting with a BDI agent model in respect with Speech Acts Theory and integrating essential elements of the conversational background. This proposition is a continuation of Chaib-draa and Vanderveken’s work [1] on a recursive semantics for ACL according to the

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تاریخ انتشار 2005