An Expressive Conversation Language for Artificial Agent of Mixed Community

نویسندگان

  • Alexandra Berger
  • Sylvie Pesty
  • Yannick Fouquet
چکیده

Those languages currently used in Agent Communication were made to be used by artificial agents only, essentially with the aim of exchanging knowledge. This paper considers mixed multi-agent systems (or communities) composed of human and artificial agents. We put forward an Expressive Conversation-Language that enables agents to form expressive dialogues; mainly deliberative dialogue such as negotiation, advice seeking, bargaining and setting up appointments. Thirty two expressive conversation acts have been formally defined. These are basic acts of conversation, such as giving and requesting information, but also promising, suggesting or asserting etc. which confer artificial agents with advanced language skills.

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تاریخ انتشار 2009