Modeling Decisions for Artificial Intelligence

1. Front Matter

   PDF

2. Invited Papers

   1. Interactive Robust Multiobjective Optimization Driven by Decision Rule Preference Model

      • Roman Słowiński

      Pages 1-4

   2. g-BDI: A Graded Intensional Agent Model for Practical Reasoning

      • Ana Casali, Lluís Godo, Carles Sierra

      Pages 5-20

   3. Modeling Ambiguity Averse Behavior of Individual Decision Making: Prospect Theory under Uncertainty

      • Hiroyuki Tamura

      Pages 21-36

   4. Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making

      • Sadaaki Miyamoto

      Pages 37-54

   5. The Relationship between Interval, Fuzzy and Possibilistic Optimization

      • Weldon A. Lodwick

      Pages 55-59

3. Regular Papers

   1. Aggregation Operators, Fuzzy Measures and Game Theory

      1. Decision Making in Voting Games: An Insight into Theory and Practice

         • Wladyslaw Homenda

         Pages 60-71

      2. A Lyapunov-Type Theorem for Nonadditive Vector Measures

         • Nobusumi Sagara

         Pages 72-80

      3. A Formal Theory of Cooperative TU-Games

         • Marc Daumas, Érik Martin-Dorel, Annick Truffert, Michel Ventou

         Pages 81-91

      4. The Functionality-Security-Privacy Game

         • Josep Domingo-Ferrer

         Pages 92-101

      5. Toward the Theory of Cooperative Games under Incomplete Information

         • Satoshi Masuya, Masahiro Inuiguchi

         Pages 102-113

      6. Comparison of Data Structures for Computing Formal Concepts

         • Petr Krajca, Vilem Vychodil

         Pages 114-125

   2. Decision Making

      1. Using Conditional Random Fields for Decision-Theoretic Planning

         • Paul A. Ardis, Christopher M. Brown

         Pages 126-136

      2. Interactive Decision Making for Hierarchical Multiobjective Linear Programming Problems

         • Hitoshi Yano

         Pages 137-148

      3. A Perception-Based Portfolio Under Uncertainty: Minimization of Average Rates of Falling

         • Yuji Yoshida

         Pages 149-160

      4. A Differential Evolution Based Time-Frequency Atom Decomposition for Analyzing Emitter signals

         • Gexiang Zhang, Jixiang Cheng

         Pages 161-171

      5. Combining Various Methods of Automated User Decision and Preferences Modelling

         • Alan Eckhardt, Peter Vojtáš

         Pages 172-181

      6. Target-Oriented Decision Analysis with Different Target Preferences

         • Hong-Bin Yan, Van-Nam Huynh, Yoshiteru Nakamori

         Pages 182-193

      7. A Novel Method for Multibiometric Fusion Based on FAR and FRR

         • Yong Li, Jianping Yin, Jun Long, En Zhu

         Pages 194-204

      8. Performance Evaluation of TEWA Systems for Improved Decision Support

         • Fredrik Johansson, Göran Falkman

         Pages 205-216

This book constitutes the proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2009, held on Awaji Island, Japan, in November/December 2009. The 28 papers presented in this book together with 5 invited talks were carefully reviewed and selected from 61 submissions. The topics covered are aggregation operators, fuzzy measures and game theory; decision making; clustering and similarity; computational intelligence and optimization; and machine learning.

• agent models
• artificial intelligence
• computational intelligence
• data analysis
• decision roles
• fuzzy optimization
• learning
• linear programming
• machine learning
• minimum spanning tree
• modeling
• multiobjective optimization
• optimization
• uncertainty
• voting games

• IIIA-CSIC, Bellaterra, Spain

  Vicenç Torra

• Toho Gakuen, Tokyo, Japan

  Yasuo Narukawa

• Graduate School of Engineering Science, Osaka University, Osaka, Japan

  Masahiro Inuiguchi

Policies and ethics