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The 11th International Conference on
Modeling Decisions for Artificial Intelligence
 Modelització de Decisions per a la Intel·ligència Artificial
Tokyo, Japó Octubre 29 - 31, 2014
http://www.mdai.cat/mdai2014
Termini de submissió:
DEADLINE USB: May 15th, 2014

Program:
  • Definitive program (v19): here
    • Registration form (v03): Registration form now available here (and also in pdf here).
    Plenary speakers: Plenary speakers here
    CFP: A printable version of the CFP is here
    Aims and goals: The aim of the MDAI conference series is to provide a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI.

    In MDAI 2014, we encourage the submission of papers on decision making, information fusion, social networks, data mining, and related topics. Applications to privacy technologies as well as real world problems are welcome.

    MDAI 2014 is the 11th MDAI conference. Previous conferences were celebrated in Barcelona (2004), Tsukuba (2005), Tarragona (2006), Kitakyushu (2007), Sabadell (2008), Awaji Island (2009), Perpinyà (2010), Changsha (2011), Girona (2012), and Barcelona (2013).

    MDAI is rated as a CORE B conference by the Computing Research and Education Association of Australasia - CORE.

    Publication: Proceedings with accepted papers will be published in the LNAI/LNCS series (Springer-Verlag) and distributed at the conference, as done in previous conferences. See LNAI volumes 3131, 3558, 3885, 4617, 5285, 5861, 6408, 6820, 7647, and 8234 (with acceptance rates of 26/53, 40/118, 31/97, 42/193, 19/43, 28/61, 25/43, 19/51, 32/49, 24/40 respectively).

    Besides, papers, that according to the evaluation of the referees, are not suitable for the LNAI but that have some merits will be published in a CD-ROM proceedings (with ISBN) and scheduled in the MDAI program.

    Topics of interest:

    		Papers are sought in topics related with decision, information fusion and their applications are welcomed.

    1. Methods and Tools:
      1. Information fusion
      2. Aggregation operators
      3. Utility and decision theory
      4. Model and operator selection
      5. Learning methods for parameter determination
      6. Machine learning and statistical learning
      7. Soft computing
      8. Optimization methods in AI and decision modeling
    2. Applications:
      1. Information privacy and security
      2. Multiagent systems
      3. Social networks
      4. Data mining
      5. Bibliometry
      6. Autonomous robots
      7. Entertainment computing
      8. Evaluation methods
      9. Bioinformatics
      10. Information access

     
    MDAI 2013

    IIIA - Institut d'Investigació en Intel·ligència Artificial

    CSIC - Consejo Superior de Investigaciones Científicas
    Vicenç Torra, Last modified: 01 : 27 December 08 2014.