Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen:
doi:10.22028/D291-24863
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
RR_92_48.pdf | 10,86 MB | Adobe PDF | Öffnen/Anzeigen |
Titel: | Plan modifications versus plan generation : a complexity-theoretic perspective |
VerfasserIn: | Nebel, Bernhard Koehler, Jana |
Sprache: | Englisch |
Erscheinungsjahr: | 1992 |
Quelle: | Kaiserslautern ; Saarbrücken : DFKI, 1992 |
Kontrollierte Schlagwörter: | Künstliche Intelligenz Automatische Handlungsplanung |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Forschungsbericht (Report zu Forschungsprojekten) |
Abstract: | 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. |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291-scidok-36163 hdl:20.500.11880/24919 http://dx.doi.org/10.22028/D291-24863 |
Schriftenreihe: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Band: | 92-48 |
Datum des Eintrags: | 21-Jun-2011 |
Fakultät: | SE - Sonstige Einrichtungen |
Fachrichtung: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.