caa a22 4500 463207254 CHVBK 20180405153129.0 cr unu---uuuuu 170326e20070801xx s 000 0 eng 10.1007/s10462-009-9095-8 doi (NATIONALLICENCE)springer-10.1007/s10462-009-9095-8 Plan recognition for interface agents [Elektronische Daten] State of the art [Marcelo Armentano, Analía Amandi] 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 at each particular moment. With this purpose, plan recognition aims at identifying the plans or goals of a user from the tasks he (for simplicity, we use "he” to refer to the user, but we do not mean any distinctions about sexes) 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 describes 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 present the state of the art in Plan Recognition, paying special attention to the features that make it useful to interface agents. These features include the ability to deal with uncertainty, multiple plans, multiple interleaved goals, overloaded tasks, noisy tasks, interruptions and the capability to adapt to a particular user. Springer Science+Business Media B.V., 2009 Plan recognition nationallicence Interface agents nationallicence Armentano Marcelo ISISTAN Research Institute, UNICEN University, Campus Universitario (B7001BBO), Tandil, Buenos Aires, Argentina aut Amandi Analía ISISTAN Research Institute, UNICEN University, Campus Universitario (B7001BBO), Tandil, Buenos Aires, Argentina aut Artificial Intelligence Review Springer Netherlands 28/2(2007-08-01), 131-162 0269-2821 28:2<131 2007 28 10462 https://doi.org/10.1007/s10462-009-9095-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-009-9095-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Armentano Marcelo ISISTAN Research Institute, UNICEN University, Campus Universitario (B7001BBO), Tandil, Buenos Aires, Argentina aut NATIONALLICENCE 700 1- Amandi Analía ISISTAN Research Institute, UNICEN University, Campus Universitario (B7001BBO), Tandil, Buenos Aires, Argentina aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 28/2(2007-08-01), 131-162 0269-2821 28:2<131 2007 28 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer