[UAI] Special Session Causality in Knowledge-Based Systems

From: Lakhmi Jain (Lakhmi.Jain@unisa.edu.au)
Date: Thu Nov 08 2001 - 15:29:36 PST

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    Special Session Causality in Knowledge-Based Systems

    KES'2002
    6th International Conference on
    Knowledge-Based Intelligent Information Engineering Systems & Allied
    Technologies
    16, 17 & 18 September 2002, Podere d'Ombriano, Crema, Italy

    Topic :

    This session aims at studying the role that the notion of causality
    plays in knowledge-based systems. At least, three problems occur
    concerning causality in that context : the discovery of causal
    knowledge, its representation and its use. First, generally, causal
    information emerges from statistical data, by looking at data that
    occur simultaneously, but it is clear that the cooccurrence of data
    does not always mean that the data are causally linked. So, what
    methods could be used to discover actual causal relations ? Secondly,
    rules are often used to model causal relations, but, in the context
    of knowledge-based systems using a particular formalism such
    frame-based representation, for example, aren't there more elegant and
    efficient means of modeling causal information ? Finally, how can
    causal information be used for reasoning in the framework of
    knowledge-based systems ? In particular, some recent studies carried
    out in cognitive psychology have shown that the properties describing
    certain kinds of concepts are causally linked and that those causal
    links have a major influence on the process of classifying a new
    entity into such a concept. Thus, obviously, the notion of causality
    may occur when a user has to build, to represent and to exploit a
    knowledge-based system.

    Contributions to that session are expected to deal with the following
    sub-topics :
    o Causal knowledge discovery;
    o Causal information representation;
    o Causal information exploitation in the different forms of reasoning
    that are
    used in the framework of knowledge-based systems.

    Both theoretical papers and papers describing practical experiences
    will be welcome.

    Instructions for Authors :

    Only electronic copies of the papers in Microsoft Word, PDF or
    Postscript forms are acceptable for review purposes and must me sent
    to the session chair. However, please note that you will be
    required to send hard copy of the final version of your paper, if it
    is accepted; electronic submission of final papers is not allowed.
    Papers must correspond to the requirements detailed in IOS
    Instructions for the Preparation of a Camera-Ready Manuscript. The
    maximum length of papers is five pages, prepared according to the
    IOS instructions. Longer papers will be subject to an Additional
    Page charge. All papers must be presented by one of the authors, who
    must pay fees.

    Publication :
    The session papers will be published in the Conference Proceedings
    (IOS Press, Amsterdam, the Netherlands). Extended versions of
    selected papers will be considered for publication in the KES
    Journal (International Journal of Knowledge-Based Intelligent
    Engineering Systems).

    Important Dates :
     
    Deadline for submission intention : December 15, 2001
    Deadline for submission (Receipt of papers) : February 10, 2002
    Notification of acceptance : April 10, 2002
    Camera-ready papers by : May 10, 2002

    Session Chair :
    Dr. Colette FAUCHER
     
    Associate Professor of Computer Science
    UniversitE9 d'Aix-Marseille III
    FacultE9 des Sciences de Saint-JE9rF4me
    DIAM-IUSPIM
    Avenue Escadrille Normandie-Niemen
    13397 Marseille Cedex 20
    FRANCE
     
    Phone : (+33) 4 91 05 60 58
    Fax : (+33) 4 91 05 60 33
    E-mail : colette.faucher@iuspim.u-3mrs.fr or colette.faucher@wanadoo.fr



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