LiU Electronic Press
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File size:
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Format:
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Author:
Magnusson, Martin (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Title:
Deductive Planning and Composite Actions in Temporal Action Logic
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Licentiate thesis, comprehensive summary (Other academic)
Language:
English
Publisher: Institutionen för datavetenskap
Pages:
85
Series:
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971; 1329
Year of publ.:
2007
URI:
urn:nbn:se:liu:diva-9726
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9726
ISBN:
978-91-85895-93-9
Subject category:
Computer Science
SVEP category:
Computer science
Keywords(en) :
Temporal Action Logic, deductive planning, composite actions, interval algebra, constraint logic programming, execution monitoring
Abstract(en) :

Temporal Action Logic is a well established logical formalism for reasoning about action and change that has long been used as a formal specification language. Its first-order characterization and explicit time representation makes it a suitable target for automated theorem proving and the application of temporal constraint solvers. We introduce a translation from a subset of Temporal Action Logic to constraint logic programs that takes advantage of these characteristics to make the logic applicable, not just as a formal specification language, but in solving practical reasoning problems. Extensions are introduced that enable the generation of action sequences, thus paving the road for interesting applications in deductive planning. The use of qualitative temporal constraints makes it possible to follow a least commitment strategy and construct partially ordered plans. Furthermore, the logical language and logic program translation is extended with the notion of composite actions that can be used to formulate and execute scripted plans with conditional actions, non-deterministic choices, and loops. The resulting planner and reasoner is integrated with a graphical user interface in our autonomous helicopter research system and applied to logistics problems. Solution plans are synthesized together with monitoring constraints that trigger the generation of recovery actions in cases of execution failures.

Presentation:
2007-09-28, Alan Turing, Hus E, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Supervisor:
Doherty, Patrick (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Opponent:
Meyer, John-Jules, Professor Doctor (Universiteit Utrecht)
Available from:
2007-10-12
Created:
2007-10-12
Last updated:
2009-06-09
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325 hits
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