ARMENTANO marcelo Gabriel
congresos y reuniones científicas
A Bayesian Networks Approach to Plan Recognition for Interface Agents
ARMENTANO, MARCELO G.; AMANDI, ANALIA A.
Simposio; Simposio Argentino de Inteligencia Artificial - 35° Jornadas Argentinas de Informática e Investigación Operativa; 2006
Interface agents are computer programs that provide personalized assistance to a user dealing with computer based applications. By understanding the tasks the user performs in a software application, an interface agent could be aware of the context that represents the user´s focus of attention in each particular moment. With this purpose, plan recognition aims at identifying the plans or goals of a user from the tasks he1 performs. A prerequisite for the recognition of plans is knowledge of a user´s possible tasks and the combination of these tasks in complex task sequences, which describe typical user behavior. Plan recognition will enable an interface agent to reason about what the user might do next so that it can determine how to assist him. In this work we propose a probabilistic model of user´s intentions to enable plan recognition in interface agents. The proposed model is able to deal with uncertainty, multiple plans, multiple interleaved goals, overloaded tasks, noisy tasks, interruptions and able to adapt to a particular user.