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The 14th International Conference on
Modeling Decisions for Artificial Intelligence

Kitakyushu, Japan October 18 - 20, 2017
Submission deadline:
USB DEADLINE: June 22nd, 2017
USB Submission open

Venue map: We have added a map with information on where to find the conference rooms. It is here

Program: Program here

Plenary speakers: Information (titles and abstracts) are here

CFP: A printable version of the CFP will be 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 2017, 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 2017 is the 14th 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), Sant Julià de Lòria (2016).

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, 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 USB 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 2017

University of Skövde

MDAI - Modeling Decisions

Vicenç Torra, Last modified: 14 : 38 October 12 2017.