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The 7th International Conference on
Modeling Decisions for Artificial Intelligence

Perpignan, French Catalonia, France, October 27 - 29, 2010
Submission deadline (EXTENDED):
April 9, 2010

PROGRAM: A printable version of the program is available here

CFP: A printable version of the CFP will be here

Invited Talks: Invited talks by Prof. Didier Dubois, Prof. Josep Domingo-Ferrer and Dr. Maria Bras-Amorós will be given in MDAI 2010 (click 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 2010, we encourage the submission of papers on decision making, optimization, data mining, information fusion, risk analysis and related topics. Applications to privacy technologies as well as real world problems such as environmental problems and supply chain management problems are welcome.

MDAI 2010 is the 7th MDAI conference. Previous conferences were celebrated in Barcelona (2004), Tsukuba (2005), Tarragona (2006), Kitakyushu (2007), Sabadell (2008), and Awaji Island (2009).

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, and 5861 (with acceptance rates of 26/53, 40/118, 31/97, 42/193, 19/43, and 28/61 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.

A special issue with selected papers from the conference will be published in the Int. J. of Uncertainty, Fuzziness and Knowledge Based Systems (journal indexed in ISI JCR).

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 2010

IIIA - Institut d'Investigació en Intel·ligència Artificial

CSIC - Consejo Superior de Investigaciones Científicas

Vicenç Torra, Last modified: 00 : 15 December 08 2014.