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The 6th International Conference on
Modeling Decisions for Artificial Intelligence
構築に関する第6回国際会議 (MDAI 2009)
淡路島, 日本, 2009年11月30日 - 2009年12月2日
(extended) May 21, 2009

Photos: Photos of the conference can be found here
Photos of the excusion can be found here

Invited Talks: Invited talks by Profs. Roman Slowinski, Hiroyuki Tamura, Weldon A. Lodwick, L. Godo, and Sadaaki Miyamoto will be given in MDAI 2009.
Abstracts here

CFP: Two different versions of the CFP can be downloaded from here (with white background) and here (with color background)

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 2009, we encourage the submission of papers on decision making, optimization, data mining, information fusion, risk analysis and related topics. Applications to decision support systems as well as real world problems such as environmental problems and supply chain management problems are welcome.

MDAI 2009 is the 6th MDAI conference. Previous conferences were celebrated in Barcelona (2004), Tsukuba (2005), Tarragona (2006), Kitakyushu (2007), and Sabadell (2008).

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, and 5285 (with acceptance rates of 26/53, 40/118, 31/97, 42/193, and 19/43 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.

Some special issues are expected. At this time, a special issue at the J. of Advanced Computational Intelligence and Intel. Informatics has been confirmed.

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. Knowledge integration
    4. Utility and decision theory
    5. Model and operator selection
    6. Learning methods for parameter determination
    7. Machine learning and statistical learning
    8. Soft computing
    9. Optimization methods in AI and decision modeling
  2. Applications:
    1. Information privacy and security
    2. Multiagent systems
    3. Data mining
    4. Autonomous robots
    5. Entertainment computing
    6. Subjective evaluation
    7. Bioinformatics
    8. Information access
    9. Economic and management sciences

MDAI 2009

IIIA - Institut d'Investigació en Intel·ligència Artificial

CSIC - Consejo Superior de Investigaciones Científicas

Vicenç Torra, Last modified: 00 : 05 December 08 2014.