Chapter 11

Probabilistic Plan Recognition for Proactive Assistant Agents

Jean Oha, Felipe Meneguzzib and Katia Sycaraa,    aCarnegie Mellon University, Pittsburgh, PA, USA, bPontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil


Human users dealing with multiple objectives in a complex environment (e.g., military planners or emergency response operators) are subject to a high level of cognitive workload. When this load becomes an overload, it can severely impair the quality of the plans created. To address these issues, intelligent assistant systems have been rigorously studied in both the artificial intelligence (AI) and the intelligent systems research communities. This chapter discusses proactive assistant systems, ...

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