[UAI] CFP: Special Issue on Synergies between Probabilistic Graphical Models and Evolutionary Computation

From: Larranaga Mugica Pedro (ccplamup@si.ehu.es)
Date: Wed Sep 05 2001 - 14:58:59 PDT

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                                    Call for Papers

                    International Journal of Approximate Reasoning (IJAR)

                                    Special Issue on

            Synergies between Probabilistic Graphical Models and
                            Evolutionary Computation

            Guest editors: Pedro Larraņaga and Jose A. Lozano
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    Evolutionary computation and probabilistic graphical models have been two
    of the most lively research topics in Artificial Intelligence during the
    90's. However, with a few exceptions, each topic has been treated and
    developed separately. Recently, there has been a new interest in trying to
    leverage the advances of one field into the other one.

    The aim of this special issue of the International Journal of Approximate
    Reasoning (IJAR) is to provide researchers with a forum for communicating
    their work to a general Artificial Intelligence audience, focusing on all
    aspects of cross-fertilization between probabilistic graphical models and
    evolutionary computation. Emphasis is on sound theoretical frameworks
    rather than ad hoc approaches. Of particular interest are papers that
    combine clear theoretical discussion with practical examples, and papers
    that compare different approaches.

    Topics covered by this special issue may include (but are not limited
    to):

            - structure learning of probabilistic graphical models with
            evolutionary computation
             - triangulation with evolutionary computation
            - abductive reasoning with evolutionary computation
            - simplification of probabilistic graphical models
            with evolutionary computation
            - combinatorial optimization by the use of probabilistic
            graphical models
            - optimization in continuous domains by the use of probabilistic
            graphical models

    Authors are invited to submit either via e-mail (by attaching Postscript, pdf,
    or MS Word document files) or by sending four hard-copies to the address
    indicated below. Manuscripts must be received by December 1, 2001 and must
    follow the IJAR submission guidelines (http://www.elsevier.nl/locate/ijar).

    Important dates:

        Deadline for submissions: December 1st, 2001
        Notification of acceptance: March 1st, 2002
        Final manuscripts for copy-editors: April 1st, 2002
        Tentative Planned Publication Date: Fall 2002

    Pedro Larraņaga
    Dept. of Computer Science and Artificial Intelligence
    University of the Basque Country
    M. de Lardizabal Pasalekua, 1
    20009 Donostia-San Sebastian
    Spain
    e-mail: lozano@si.ehu.es
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