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The role of different solvers in planning and scheduling integration
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems)ORCID iD: 0000-0002-9652-7864
2003 (English)In: AI*IA 2003: Advances in Artificial Intelligence, Springer Berlin/Heidelberg, 2003, Vol. 2829, p. 362-374Conference paper, Published paper (Refereed)
Abstract [en]

This paper attempts to analyze the issue of planning and scheduling integration from the point of view of information sharing. This concept is the basic bridging factor between the two realms of problem solving. In fact, the exchange of each solver’s point of view on the problem to be solved allows for a synergetic effort in the process of searching the space of states. In this work, we show how different solving strategies cooperate in this process by varying the degree of integration of the combined procedure. In particular, the analysis exposes the advantage of propagating sets of partial plans rather than reasoning on sequential state space representations. Also, we show how this is beneficial both to a component-based approach (in which information sharing occurs only once) and to more interleaved forms of integration.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2003. Vol. 2829, p. 362-374
Series
Lecture notes in computer science ; 2829
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-24073DOI: 10.1007/978-3-540-39853-0_30ISBN: 978-3-540-20119-9 (print)OAI: oai:DiVA.org:oru-24073DiVA, id: diva2:540683
Conference
8th Congress of the Italian Association for Artificial Intelligence, Pisa, Italy, September 2003
Available from: 2012-07-10 Created: 2012-07-10 Last updated: 2018-01-12Bibliographically approved

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Pecora, Federico

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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