This volume constitutes the joint post-proceedings of five international workshops organized by the Japanese Society of Artificial Intelligence in 2001. It has sections on social intelligence design, agent-based approaches in economic and complex social systems, rough set theory and more.

Social Intelligence Design.- Social Intelligence Design — An Overview.- FaintPop: In Touch with the Social Relationships.- From Virtual Environment to Virtual Community.- Collaborative Innovation Tools.- Bricks & Bits & Interaction.- A Distributed Multi-agent System for the Self-Evaluation of Dialogs.- Public Opinion Channel: A System for Augmenting Social Intelligence of a Community.- Enabling Public Discourse.- Internet, Discourses, and Democracy.- How to Evaluate Social Intelligence Design.- Agent-Based Approaches in Economic and Social Complex Systems.- Overview.- Analyzing Norm Emergence in Communal Sharing via Agent-Based Simulation.- Toward Cumulative Progress in Agent-Based Simulation.- Complexity of Agents and Complexity of Markets.- U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents.- A Multi-objective Genetic Algorithm Approach to Construction of Trading Agents for Artificial Market Study.- Agent-Based Simulation for Economic and Environmental Studies.- Avatamsaka Game Experiment as a Nonlinear Polya Urn Process.- Effects of Punishment into Actions in Social Agents.- Analysis of Norms Game with Mutual Choice.- Cooperative Co-evolution of Multi-agents.- Social Interaction as Knowledge Trading Games.- World Trade League as a Standard Problem for Multi-agent Economics — Concept and Background.- Virtual Economy Simulation and Gaming — An Agent Based Approach —.- Boxed Economy Foundation Model: Model Framework for Agent-Based Economic Simulations.- Rough Set Theory and Granular Computing.- Workshop on Rough Set Theory and Granular Computing — Summary.- Bayes’ Theorem Revised — The Rough Set View.- Toward Intelligent Systems: Calculi of Information Granules.- Soft Computing Pattern Recognition: Principles,Integrations, and Data Mining.- Identifying Upper and Lower Possibility Distributions with Rough Set Concept.- On Fractals in Information Systems: The First Step.- Generalizations of Fuzzy Multisets for Including Infiniteness.- Fuzzy c-Means and Mixture Distribution Model for Clustering Based on L 1 – Space.- On Rough Sets under Generalized Equivalence Relations.- Two Procedures for Dependencies among Attributes in a Table with Non-deterministic Information: A Summary.- An Application of Extended Simulated Annealing Algorithm to Generate the Learning Data Set for Speech Recognition System.- Generalization of Rough Sets with ?-Coverings of the Universe Induced by Conditional Probability Relations.- On Mining Ordering Rules.- Non-additive Measures by Interval Probability Functions.- Susceptibility to Consensus of Conflict Profiles.- Analysis of Image Sequences for the Unmanned Aerial Vehicle.- The Variable Precision Rough Set Inductive Logic Programming Model and Web Usage Graphs.- Optimistic Priority Weights with an Interval Comparison Matrix.- Rough Set Theory in Conflict Analysis.- Dealing with Imperfect Data by RS-ILP.- Extracting Patterns Using Information Granules: A Brief Introduction.- Classification Models Based on Approximate Bayesian Networks.- Identifying Adaptable Components — A Rough Sets Style Approach.- Rough Measures and Integrals: A Brief Introduction.- Association Rules in Semantically Rich Relations: Granular Computing Approach.- A Note on Filtration and Granular Reasoning.- A Note on Conditional Logic and Association Rules.- Analysis of Self-Injurious Behavior by the LERS Data Mining System.- A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory.- A Design of Architecture for Rough Set Processor.- Chance Discovery.- TheScope of Chance Discovery.- Chance Discovery Using Dialectical Argumentation.- Methodological Considerations on Chance Discovery.- Future Directions of Communities on the Web.- A Document as a Small World.- Support System for Creative Activity by Information Acquirement through Internet.- An Approach to Support Long-Term Creative Thinking and Its Feasibility.- Chance Discovery by Creative Communicators Observed in Real Shopping Behavior.- The Role of Counterexamples in Discovery Learning Environment: Awareness of the Chance for Learning.- Integrating Data Mining Techniques and Design Information Management for Failure Prevention.- Action Proposal as Discovery of Context.- Retrieval of Similar Time-Series Patterns for Chance Discovery.- Fuzzy Knowledge Based Systems and Chance Discovery.- Challenge in Knowledge Discovery and Datamining.- JSAI KDD Challenge 2001: JKDD01.- Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications.- Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining.- Basket Analysis on Meningitis Data.- Extended Genetic Programming Using Apriori Algorithm for Rule Discovery.- Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model.- Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR.