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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-37063
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3706/


Logic-based plan recognition for intelligent help systems

Bauer, Mathias ; Paul, Gabriele

Quelle: (1993) Kaiserslautern ; Saarbrücken : DFKI, 1993
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SWD-Schlagwörter: Künstliche Intelligenz
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Bandnummer: 93-43
Sprache: Englisch
Erstellungsjahr: 1993
Publikationsdatum: 28.06.2011
Kurzfassung auf Englisch: Intelligent help systems aim at providing optimal help to the users of complex software application systems. In this context plan recognition is essential for a cooperative system behavior in that it allows to predict the user's future actions, to determine suboptimal action sequences or even serves as a basis for user-adapted tutoring or learning components. In this paper a new approach to incremental plan recognition based on a modal temporal logic is described. This logic allows for an abstract representation of plans including control structures such as loops and conditionals which makes it particularly well-suited for the above-mentioned tasks in command-language environments. There are two distinct phases: With a generalized abductive reasoning mechanism the set of valid plan hypotheses is determined in each recognition step. A probabilistic selection, based on Dempster-Shafer Theory, then serves to determine the "best" hypotheses in order to be able to provide help whenever required.
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