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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-36163

Plan modifications versus plan generation : a complexity-theoretic perspective

Nebel, Bernhard ; Koehler, Jana

Quelle: (1992) Kaiserslautern ; Saarbrücken : DFKI, 1992
Dokument 1.pdf (10.862 KB)

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SWD-Schlagwörter: Künstliche Intelligenz , Automatische Handlungsplanung
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: 92-48
Sprache: Englisch
Erstellungsjahr: 1992
Publikationsdatum: 21.06.2011
Kurzfassung auf Englisch: The ability of a planner to modify a plan is considered as a valuable tool for improving efficiency of planning by avoiding the repetition of the same planning effort. From a computational complexity point of view, however, it is by no means obvious that modifying a plan is computationally as easy as planning from scratch if the modification has to follow the principle of "conservatism", i.e., to reuse as much of the old plan as possible. Indeed, considering propositional STRIPS planning, it turns out that conservative plan modification is as hard as planning and can sometimes be harder than plan generation. Furthermore, this holds even if we consider modification problems where the old and the new goal specification are similar. We put these results into perspective and discuss the relationship to existing plan modification systems. Although sometimes claimed otherwise, these systems do not address the modification problem, but use a non-conservative form of plan modification as a heuristic technique.
Lizenz: Standard-Veröffentlichungsvertrag

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