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The 13th International Conference on
Modeling Decisions for Artificial Intelligence

Sant Julià de Lòria, Andorra September 19 - 21, 2016
http://www.mdai.cat/mdai2016
Submission deadline:
DEADLINE EXTENDED: April 11th, 2016

Program: The program is here (v09) .

Registration: Information about registration has been included in the web page here

Plenary speakers: Updated information on Plenary speakers (titles and abstracts) is here

CFP: A printable version of the CFP with the extended deadline is available 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 2016, we encourage the submission of papers on decision making, information fusion, social networks, data mining, and related topics.

Applications to data science and privacy technologies as real world problems are welcome.

MDAI 2016 is the 13th 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), Barcelona (2013), Tokyo (2014), Skövde (2015).

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, 8234, 8825, 9321 (with acceptance rates of 26/53, 40/118, 31/97, 42/193, 19/43, 28/61, 25/43, 19/51, 32/49, 24/40, 19/38, 18/38 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. Data science
    2. Information privacy and security
    3. Multiagent systems
    4. Social networks
    5. Data mining
    6. Bibliometry
    7. Autonomous robots
    8. Entertainment computing
    9. Evaluation methods
    10. Bioinformatics
    11. Information access




 
MDAI 2016

University of Skövde

MDAI - Modeling Decisions

Vicenç Torra, Last modified: 08 : 49 July 15 2016.