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The 9th International Conference on
Modeling Decisions for Artificial Intelligence
 Modelització de Decisions per a la Intel·ligència Artificial
Girona, Catalunya, , Novembre 21 - 23, 2012
http://www.mdai.cat/mdai2012
Termini de submissió EXTES:
25 Maig, 2012

2012/07: Group photo of MDAI 2012
2012/07: Program available in the "Program" web page
CFP: A printable version of the CFP will be here
Invited Talks: Talks by Prof. Sadaaki Miyamoto, Prof. Masahiro Inuiguchi, Prof. Radko Mesiar. For additional information click here.
Girona and Costa Brava at National Geographic: Costa Brava at National Geographic 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 2012, 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 2012 is the 9th MDAI conference. Previous conferences were celebrated in Barcelona (2004), Tsukuba (2005), Tarragona (2006), Kitakyushu (2007), Sabadell (2008), Awaji Island (2009), Perpinyà (2010), and Changsha (2011).

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, and 6408 (with acceptance rates of 26/53, 40/118, 31/97, 42/193, 19/43, 28/61, and 25/43 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.


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. Subjective evaluation
    9. Bioinformatics
    10. Information access