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The 10th International Conference on
Modeling Decisions for Artificial Intelligence
Modelització de Decisions per a la Intel·ligència Artificial
Barcelona, Catalunya Novembre 20 - 22, 2013
http://www.mdai.cat/mdai2013
Termini de submissió:
Pel CDROM (extended): 13 juliol, 2013

Tentative program: Tentative program here (v08)

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 2013, 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 2013 is the 10th MDAI conference. Previous conferences were celebrated in Barcelona (2004), Tsukuba (2005), Tarragona (2006), Kitakyushu (2007), Sabadell (2008), Awaji Island (2009), Perpinyà (2010), Changsha (2011), and Girona (2012).

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


Publication: Proceedings with accepted papers are expected to 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, and 7647 (with acceptance rates of 26/53, 40/118, 31/97, 42/193, 19/43, 28/61, 25/43, 19/51, 32/49 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


 
MDAI 2013

IIIA - Institut d'Investigació en Intel·ligència Artificial

CSIC - Consejo Superior de Investigaciones Científicas

Vicenç Torra, Last modified: 01 : 15 December 08 2014.