Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

1. Front Matter

   Pages I-XII

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2. Invited Speakers

   1. Agent Programming in Ciao Prolog

      • Francisco Bueno

      Pages 1-2

   2. Multi-relational Data Mining: A Perspective

      • Peter A. Flach

      Pages 3-4

   3. A Comparison of GLOWER and Other Machine Learning Methods for Investment Decision Making

      • Vasant Dhar

      Pages 5-5

3. Extraction of Knowledge from Databases

   1. Parallel Implementation of Decision Tree Learning Algorithms

      • Nuno Amado, João Gama, Fernando Silva

      Pages 6-13

   2. Reducing Rankings of Classifiers by Eliminating Redundant Classifiers

      • Pavel Brazdil, Carlos Soares, Rui Pereira

      Pages 14-21

   3. Non-parametric Nearest Neighbor with Local Adaptation

      • Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José C. Riquelme

      Pages 22-29

   4. Selection Restrictions Acquisition from Corpora

      • Pablo Gamallo, Alexandre Agustini, Gabriel P. Lopes

      Pages 30-43

   5. Classification Rule Learning with APRIORI-C

      • Viktor Jovanoski, Nada Lavrač

      Pages 44-51

   6. Proportional Membership in Fuzzy Clustering as a Model of Ideal Types

      • S. Nascimento, B. Mirkin, F. Moura-Pires

      Pages 52-62

   7. Evolution of Cubic Spline Activation Functions for Artificial Neural Networks

      • Helmut A. Mayer, Roland Schwaiger

      Pages 63-73

   8. Multilingual Document Clustering, Topic Extraction and Data Transformations

      • Joaquim Silva, João Mexia, Carlos A. Coelho, Gabriel Lopes

      Pages 74-87

   9. Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms before Choosing

      • Carlos Soares, Johann Petrak, Pavel Brazdil

      Pages 88-95

   10. Recursive Adaptive ECOC models

       • Elizabeth Tapia, José Carlos González, Javier García-Villalba, Julio Villena

       Pages 96-103

   11. A Study on End-Cut Preference in Least Squares Regression Trees

       • Luis Torgo

       Pages 104-115

4. Artificial Intelligence Techniques for Financial Time Series Analysis

   1. The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction

      • Pedro de Almeida, Luís Torgo

      Pages 116-129

   2. Optimizing the Sharpe Ratio for a Rank Based Trading System

      • Thomas Hellström

      Pages 130-141

5. Multi-agent Systems:Theory and Applications

   1. Choice: The Key for Autonomy

      • Luis Antunes, João Faria, Helder Coelho

      Pages 142-154

   2. Dynamic Evaluation of Coordination Mechanisms for Autonomous Agents

      • Rachel A. Bourne, Karen Shoop, Nicholas R. Jennings

      Pages 155-168

   3. Evolving Multi-agent Viewpoints — An Architecture

      • Pierangelo Dell’Acqua, João Alexandre Leite, Luís Moniz Pereira

      Pages 169-182

The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. It returned to the city in which the ?rst conference took place, about 15 years ago. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt). EPIA maintained its international character and continued to provide a forum for p- senting and discussing researc h on di?erent aspects of Arti?cial Intelligence. To promote motivated discussions among participants, this conference streng- ened the role of the thematic workshops. These were not just satellite events, but rather formed an integral part of the conference, with joint sessions when justi?ed. This had the advantage that the work was presented to a motivated audience. This was the ?rst time that EPIA embarked on this experience and so provided us with additional challenges.

• AI planning
• Artificial intelligence
• Constraint Satisfaction
• Evolution
• Prolog
• adaptive information processing
• agent societies
• agent systems
• algorithmic learning
• artificial neural network
• classifier systems
• data mining
• modeling
• multi-agent system
• neural network

• Faculty of Economics LIACC, Laboratório de Inteligência Artificial e Ciência de Computadores, University of Porto, Porto, Portugal

  Pavel Brazdil, Alípio Jorge

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