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 language | English |
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Number of pages | 15 |
Publication status | Published - Apr 2011 |
Event | Proceedings of the Eight European Workshop on Multi-Agent Systems (EUMAS) - Paris, France Duration: 20 Oct 2011 → … |
Conference
Conference | Proceedings of the Eight European Workshop on Multi-Agent Systems (EUMAS) |
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Country/Territory | France |
City | Paris |
Period | 20/10/11 → … |
Keywords
- software agents
- activity recognition
- plan recognition
- incremental
- team-oriented
- distributed