Low-Complexity Exploration in Utility Hypergraphs

Author:

Hadfi Rafik1,Ito Takayuki1

Affiliation:

1. Department of Computer Science and Engineering, Nagoya Institute of Technology

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Reference20 articles.

1. [1] Bacchus, F. and Grove, A.: Graphical Models for Preference and Utility, Proc. 11th Conference on Uncertainty in Artificial Intelligence, UAI'95, San Francisco, CA, USA, pp.3-10, Morgan Kaufmann Publishers Inc. (1995).

2. [2] Chajewska, U. and Koller, D.: Utilities as Random Variables: Density Estimation and Structure Discovery, Proc. 16th Annual Conference on Uncertainty in Artificial Intelligence (UAI-00), pp.63-71 (2000).

3. [3] Donoho, D.L.: High-dimensional data analysis: The curses and blessings of dimensionality, American Mathematical Society Conf. Math Challenges of the 21st Century (2000).

4. [4] Fujita, K., Ito, T. and Klein, M.: An Approach to Scalable Multi-issue Negotiation: Decomposing the Contract Space Based on Issue Interdependencies, Proc. 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02, WI-IAT '10, Washington, DC, USA, pp.399-406, IEEE Computer Society (2010).

5. [5] Hadfi, R. and Ito, T.: Cognition as a Game of Complexity, Proc. 12th International Conference on Cognitive Modeling (ICCM) (2013).

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