Incremental, team-oriented activity and plan recognition for software agents

Daniele Masato, Timothy J Norman, Wamberto W Vasconcelos, Katia Sycara

Research output: Contribution to conferencePaper

Abstract

Activity and plan recognition are well-developed research fields, where much work has been done. There has been, however, almost no effort in combining both to create intelligent software that can effectively support the decision-making process faced by human teams enacting a joint plan. In this paper, we present an architecture to integrate activity recognition and plan recognition using a team-oriented, incremental and distributed approach. In this way intelligent software assistants will be able to interact effectively in human-agent teams, and offer helpful and meaningful support to humans during plan enactment.
Original languageEnglish
Number of pages15
Publication statusPublished - Apr 2011
EventProceedings of the Eight European Workshop on Multi-Agent Systems (EUMAS) - Paris, France
Duration: 20 Oct 2011 → …

Conference

ConferenceProceedings of the Eight European Workshop on Multi-Agent Systems (EUMAS)
CountryFrance
CityParis
Period20/10/11 → …

Keywords

  • software agents
  • activity recognition
  • plan recognition
  • incremental
  • team-oriented
  • distributed

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  • Cite this

    Masato, D., Norman, T. J., Vasconcelos, W. W., & Sycara, K. (2011). Incremental, team-oriented activity and plan recognition for software agents. Paper presented at Proceedings of the Eight European Workshop on Multi-Agent Systems (EUMAS), Paris, France. https://www.usukita.org/node/809