Agents and Artificial Intelligence

1. Front Matter

   PDF

2. Invited Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Using Incentives to Obtain Truthful Information

      • Boi Faltings

      Pages 3-10

   3. Model Driven Design of Multiagent Systems

      • Klaus Fischer, Stefan Warwas, Ingo Zinnikus

      Pages 11-27

3. Part I: Artificial Intelligence

   1. Front Matter

      Pages 29-29

      PDF

   2. Probabilistic Connection between Cross-Validation and Vapnik Bounds

      • Przemysław Klęsk

      Pages 31-55

   3. A Time-Varying Model to Simulate a Collective Decisional Problem

      • A. Imoussaten, J. Montmain, A. Rico, F. Rico

      Pages 56-71

   4. Setting Up Particle Swarm Optimization by Decision Tree Learning Out of Function Features

      • Tjorben Bogon, Georgios Poursanidis, Andreas D. Lattner, Ingo J. Timm

      Pages 72-85

   5. Collision Avoidance Using Partially Controlled Markov Decision Processes

      • Mykel J. Kochenderfer, James P. Chryssanthacopoulos

      Pages 86-100

   6. A Restricted Model Space Approach for the Detection of Epistasis in Quantitative Trait Loci Using Markov Chain Monte Carlo Model Composition

      • Edward L. Boone, Susan J. Simmons, Karl Ricanek

      Pages 101-114

   7. Reasoning about Interest-Based Preferences

      • Wietske Visser, Koen V. Hindriks, Catholijn M. Jonker

      Pages 115-130

   8. Advantages of Information Granulation in Clustering Algorithms

      • Urszula Kużelewska

      Pages 131-145

   9. Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning

      • Daniel Pérez-Pinillos, Susana Fernández, Daniel Borrajo

      Pages 146-160

   10. Symbolic State-Space Exploration and Guard Generation in Supervisory Control Theory

       • Zhennan Fei, Sajed Miremadi, Knut Åkesson, Bengt Lennartson

       Pages 161-175

   11. Developing Goal-Oriented Normative Agents: The NBDI Architecture

       • Baldoino F. dos Santos Neto, Viviane Torres da Silva, Carlos J. P. de Lucena

       Pages 176-191

   12. Evaluation of Environment Contextual Services in Multiagent Systems

       • Flavien Balbo, Julien Saunier, Fabien Badeig

       Pages 192-207

   13. Data Streams Classification: A Selective Ensemble with Adaptive Behavior

       • Valerio Grossi, Franco Turini

       Pages 208-223

   14. On kNN Classification and Local Feature Based Similarity Functions

       • Giuseppe Amato, Fabrizio Falchi

       Pages 224-239

   15. Web Service Composition Plans in OWL-S

       • Eva Ziaka, Dimitris Vrakas, Nick Bassiliades

       Pages 240-254

   16. Convergence Classification and Replication Prediction for Simulation Studies

       • Andreas D. Lattner, Tjorben Bogon, Ingo J. Timm

       Pages 255-268

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Agents and Artificial Intelligence, ICAART 2011, held in Rome, Italy, in January 2011. The 26 revised full papers presented together with two invited paper were carefully reviewed and selected from 367 submissions. The papers are organized in two topical sections on artificial intelligence and on agents.

• data mining
• multi-agent systems
• particle swarm optimization
• social network
• wireless sensor networks
• algorithm analysis and problem complexity

• Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Setúbal, Portugal

  Joaquim Filipe

• IST - Technical University of Lisbon, Lisbon, Portugal

  Ana Fred

Policies and ethics