Intelligent Information Systems

1. Front Matter

   Pages I-XII

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2. Rule and Decision Tree Acquisition

   1. Optimization and Interpretation of Rule-Based Classifiers

      • Włodzisław Duch, Norbert Jankowski, Krzysztof Grąbczewski, Rafał Adamczak

      Pages 1-13

   2. Comparative Analysis of Selected Association Rules Types

      • Marcin Gajek

      Pages 15-26

   3. Data Mining Experiments with a Melanoma Data Set

      • Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe

      Pages 27-34

   4. Description of the Machine Operation in Varying Conditions with the Use of Dynamic Scene Idea

      • Anna Timofiejczuk

      Pages 35-44

   5. Application of Decision Trees to Wavelet-based Classification of Musical Instrument Sounds

      • Alicja A. Wieczorkowska

      Pages 45-53

3. Rough Sets

   1. Mining for Action-Rules in Large Decision Tables Classifying Customers

      • Zbigniew W. Ras, Alicja Wieczorkowska

      Pages 55-63

   2. Generation of Exhaustive Rule Sets Using a Reduct Generating Algorithm

      • Robert Susmaga

      Pages 65-74

   3. Optimal Decision Making with Data-Acquired Decision Tables

      • Wojciech Ziarko

      Pages 75-85

4. Unsupervised Learning

   1. Applying Data Mining Methods for Cellular Radio Network Planning

      • Piotr Gawrysiak, Michał Okoniewski

      Pages 87-98

   2. SBL-PM: A Simple Algorithm for Selection of Reference Instances in Similarity Based Methods

      • Karol Grudziński, Włodzisław Duch

      Pages 99-107

   3. Geometrical Approach to a Coherent Set of Operational Definitions

      • Andrzej Ossowski, Jan M. Żytkow

      Pages 109-117

   4. Generating Optimal Repertoire of Antibody Strings in an Artificial Immune System

      • Sławomir T. Wierzchoń

      Pages 119-133

5. Logical and Methodological Foundations of AI

   1. Modeling Agent Organizations

      • Stanislaw Ambroszkiewicz, Krzysztof Cetnarowicz, Jaroslaw Kozlak, Tomasz Nowak, Wojciech Penczek

      Pages 135-144

   2. Expressiveness of $-Calculus: What Matters?

      • Eugene Eberbach

      Pages 145-157

   3. Distributed Artificial Intelligence: A Case Study of Implementations of a Parallel Algorithm Computing All Homomorphisms of Finite Automata

      • Boleslaw Mikolajczak

      Pages 159-173

   4. Methodology of Diagnostic Knowledge Acquisition from Databases of Examples

      • Wojciech Moczulski

      Pages 175-184

   5. Verification of Rule Knowledge Bases Using Decision Units

      • Roman Siminski, Alicja Wakulicz-Deja

      Pages 185-191

   6. Sound and Complete Propositional Nonmonotonic Logic of Hierarchically-Minimal Models

      • Marek A. Suchenek

      Pages 193-205

6. Neural Networks and Evolutionary Algorithms

   1. Artificial Neural Network for Multiprocessor Tasks Scheduling

      • Ireneusz Czarnowski, Piotr Jędrzejowicz

      Pages 207-216

This volume contains articles accepted for presentation during The Intelligent Information Systems Symposium I1S'2000 which was held in Bystra, Poland, on June 12-16, 2000. This is ninth, in the order, symposium organized by the Institute of Computer Science of Polish Academy of Sciences and devoted to new trends in (broadly understood) Artificial Intelligence. The idea of organizing such meetings dates back to 1992. Our main in­ tention guided the first, rather small-audience, workshop in the series was to resume the results gained in Polish scientific centers as well as contrast them with the research performed by Polish scientists working at the uni­ versities in Europe and USA. This idea proved to be attractive enough that we decided to continue such meetings. As the years went by, the workshops has transformed into regular symposia devoted to such fields like Machine Learning, Knowledge Discovery, Natural Language Processing, Knowledge Based Systems and Reasoning, and Soft Computing (Le. Fuzzy and Rough Sets, Bayesian Networks, Neural Networks and Evolutionary Algorithms). At present, about 50 papers prepared by researches from Poland and other countries are usually presented. Besides, for several years now, the symposia are accompanied by a number of tutorials, given by the outstanding scientists in their domain. Up to this year the proceedings were published as our local publication and they were distributed among the scientific libraries. We feel however, that the subject matter as well as the quality of papers is sufficient to present the proceedings to a broader scientific audience.

• Bayesian network
• Evolution
• Extension
• Genetic Algorithms
• Intelligent Systems
• Künstliche Intelligenz
• Neural Networks
• Symbolic Reasonng
• artificial intelligence
• finite automata
• knowledge
• knowledge base
• machine learning
• modeling
• visualization

• Institute of Computer Sciences, Polish Academy of Sciences, Warsaw, Poland

  Mieczysław Kłopotek, Maciej Michalewicz, Sławomir T. Wierzchoń

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