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 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, 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.

Some special issues are expected.



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