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Lizenz
Report (Bericht) zugänglich unter
Logic-based plan recognition for intelligent help systems
URN: urn:nbn:de:bsz:291-scidok-37063
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3706/
Quelle:
(1993) Kaiserslautern ; Saarbrücken : DFKI, 1993
pdf-Format:
Dokument 1.pdf (311 KB)
SWD-Schlagwörter:
Künstliche Intelligenz
Institut:
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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Standard-Veröffentlichungsvertrag