From Single-Agent to Multi-Agent: Challenges for Plan Recognition Systems

نویسندگان

  • Cristiano Castelfranchi
  • Rino Falcone
چکیده

The ability of recognizing a multi-agent plan a plan which has been generated for multiple executing agents implies the skill of recognizing the plan underlying a collective activity in which a group of agents is involved. Multi-agent plan recognition is a necessary and useful extension of current PR systems in some domains. In this work starting from CHAPLIN (CHart Applied to PLan INference, a chart-based plan recognition system) we discuss how extending this system to the multi-agent world, many problems arise. More in general we consider the challenges that the multi-agent domains produce for the plan recognition systems.

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تاریخ انتشار 1995