Please use this identifier to cite or link to this item: doi:10.22028/D291-25221
Title: Decision-theoretic transformational planning
Author(s): Beetz, Michael
Language: English
Year of Publication: 1992
OPUS Source: Kaiserslautern ; Saarbrücken : DFKI, 1992
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In this paper we develop decision-theoretic transformational planning as a novel computational theory for planning reactive behavior under hard time constraints. The theory is based on three main paradigms: transformational planning, decision theory, and time-dependent computations. Knowledge about goals and the robot control language is accessed through transformation rules that define semantic relationships between constructs in the plan representation language and associations between goals and canned plans. The computational theory deals with uncertainty by applying decision-theoretic methods to control the planning process. The tradeoffs between planning and acting are weighed by applying time-dependent algorithms for testing the applicability and utility of transformation rules with respect to the current situation and the preferences of the robot.
Link to this record: urn:nbn:de:bsz:291-scidok-50500
Series name: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Series volume: 92-07
Date of registration: 18-Feb-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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