Introduction

Rough Sets

• Zdzislaw Pawlak: Rough reasoning about discrete functions
• Leszek Plonka, Adam Mrozek Ryszard Winiarczyk and Jacek Maitan: Implementing Rule-Oriented Knowledge Bases on Smart Networks
• Zbigniew W. Ras: Cooperative Query Answering
• Andrzej Skowron: Inductive concept learning: Applications of rough set methods
• Roman Slowinski, Jerzy Stefanowski: Using expert's knowledge in rule-based classification of objects
• Jaroslaw Stepaniuk, Marek Kretowski: Decision System Based on Tolerance Rough Sets
• Wojciech Ziarko, Ning Shan: Database Mining Using Rough Sets

Neural Networks and Evolutionary Algorithms

• Jan T. Bialasiewicz: On $\varepsilon$-sufficient pattern clustering in probabilistic neural networks
• Jerzy Cytowski: An application of genetic algorithm to edge detection
• Jacek Malko, Henryk Mikolajczak, Wlodzimierz Skorupski: Advances in Artificial Neural Network Application to Electric Load Forecasting. Case Study: Power System in Poland
• Zbigniew Michalewicz: Do Not Kill Unfeasible Individuals
• Zbigniew Swiatnicki, Roman Wantoch-Rekowski: The neural network in medical expert diagnostic system
• Jakub Wroblewski: Genetic approach to scalar quantisation

Learning Systems

• Marek J. Druzdzel, Clark Glymour: What Do College Ranking Data Tell Us About Student Retention: Causal Discovery In Action
• Jerzy W. Grzymala-Busse, Joel D. Gunn: Global Temperature Analysis
• Ryszard Janicki, Waldemar W. Koczkodaj: Consistency-driven Approach to Knowledge Acquisition for Expert Systems
• Ryszard S. Michalski, Janusz Wnek: Learning Hybrid Concept Descriptions
• Wojciech Moczulski: Example of design knowledge acquisition using induction
• Jan M. Zytkow, Robert Zembowicz: Discovering Patterns at Different Scale in Massive Data

Multi-agent Systems and Expert Systems

• Urszula Boryczka: The ant system
• Pawel Cichosz, Jan J. Mulawka: Towards More Efficient Intelligent Agents Learning from Delayed Rewards
• Mieczyslaw A. Klopotek, Slawomir T. Wierzchon: Marginally Correct Approximations of Dempster-Shafer Belief Function Decomposition from Data
• Zbigniew Kowalkowski, Janusz Blachowicz: ESTA as an environment for creating expert system for support SOS-3M deck device diagnosing process
• Edward Nawarecki, Krzysztof Cetnarowicz, Grzegorz Dobrowolski: Informacyjne aspekty konstrukcji systemow agentowych
• Martyna Weigl, Witold Kosinski: Reasoning in adaptive fuzzy expert systems

Knowledge Representation Methods

• Krzysztof Ciupke: Method of estimating the quality of compound product based on rough mereology
• Roman Siminski, Alicja Wakulicz-Deja: Layered model of dynamic knowledge base
• Slawomir T. Wierzchon, Mieczyslaw A. Klopotek: Query Processing in Valuation Based Systems

Distributed Intelligent Information Systems

• Anna Kupsc, Malgorzata Marciniak, Agnieszka Mykowiecka, Adam Przepiorkowski: Formal Analysis of Polish in HPSG
• Daryl O'Rourke: A Review of the State of Commercial AI Based Applications In The USA
• Wieslaw Szczesny: Analysis of effectiveness measures of business units in a large bank
• Wieslaw Traczyk: Qualitative Rules with Quantitative Operations
• Franciszek Seredynski: Competition and Cooperation in Evolutionary Systems