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Preface to special issue on planning and scheduling

Bartak, Roman, Cesta, Amedeo, McCluskey, T.L. and Salido, M. (2010) Preface to special issue on planning and scheduling. Knowledge Engineering Review, 25 (3). pp. 247-248. ISSN 0269-8889

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    Planning, scheduling and constraint satisfaction are important areas in artificial intelligence (AI)
    with broad practical applicability. Many real-world problems can be formulated as AI planning
    and scheduling (P&S) problems, where resources must be allocated to optimize overall performance
    objectives. Frequently, solving these problems requires an adequate mixture of planning,
    scheduling and resource allocation to competing goal activities over time in the presence of
    complex state-dependent constraints. Constraint satisfaction plays an important role in solving
    such real-life problems, and integrated techniques that manage P&S with constraint satisfaction
    are particularly useful. Knowledge engineering supports the solution of such problems by providing
    adequate modelling techniques and knowledge extraction techniques for improving the
    performance of planners and schedulers. Briefly speaking, knowledge engineering tools serve as a
    bridge between the real world and P&S systems.

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
    School of Computing and Engineering
    School of Computing and Engineering > Pedagogical Research Group
    Related URLs:
    Depositing User: Thomas Mccluskey
    Date Deposited: 17 Mar 2011 14:55
    Last Modified: 01 Oct 2011 01:38

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