Chapter

Hybrid Artificial Intelligence Systems

Volume 6077 of the series Lecture Notes in Computer Science pp 185-192

Reaching a Common Agreement Discourse Universe on Multi-Agent Planning

  • Alejandro TorreñoAffiliated withCarnegie Mellon UniversityDepartamento Sistemas Informaticos y Computacion, Universidad Politecnica Valencia
  • , Eva OnaindiaAffiliated withCarnegie Mellon UniversityDepartamento Sistemas Informaticos y Computacion, Universidad Politecnica Valencia
  • , Oscar SapenaAffiliated withCarnegie Mellon UniversityDepartamento Sistemas Informaticos y Computacion, Universidad Politecnica Valencia

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Abstract

Multi-Agent Planning (MAP) is the problem of having a group of agents working together to solve a problem that requires a collective effort. When coordination on a MAP system is done through negotiation, agents must share a common ontology. In this paper we propose a mechanism to reach a shared ontology through the definition of a common information model.