| Social Intelligence Design | |
| Social Intelligence Design - An Overview | p. 3 |
| FaintPop: In Touch with the Social Relationships | p. 11 |
| From Virtual Environment to Virtual Community | p. 19 |
| Collaborative Innovation Tools | p. 27 |
| Bricks and Bits and Interaction | p. 35 |
| A Distributed Multi-agent System for the Self-Evaluation of Dialogs | p. 43 |
| Public Opinion Channel: A System for Augmenting Social Intelligence of a Community | p. 51 |
| Enabling Public Discourse | p. 59 |
| Internet, Discourses, and Democracy | p. 67 |
| How to Evaluate Social Intelligence Design | p. 75 |
| Agent-Based Approaches in Economic and Social Complex Systems | |
| Overview | p. 85 |
| Analyzing Norm Emergence in Communal Sharing via Agent-Based Simulation | p. 88 |
| Toward Cumulative Progress in Agent-Based Simulation | p. 99 |
| Complexity of Agents and Complexity of Markets | p. 110 |
| U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents | p. 121 |
| A Multi-objective Genetic Algorithm Approach to Construction of Trading Agents for Artificial Market Study | p. 132 |
| Agent-Based Simulation for Economic and Environmental Studies | p. 142 |
| Avatamsaka Game Experiment as a Nonlinear Polya Urn Process | p. 153 |
| Effects of Punishment into Actions in Social Agents | p. 162 |
| Analysis of Norms Game with Mutual Choice | p. 174 |
| Cooperative Co-evolution of Multi-agents | p. 185 |
| Social Interaction as Knowledge Trading Games | p. 195 |
| World Trade League as a Standard Problem for Multi-agent Economics - Concept and Background | p. 208 |
| Virtual Economy Simulation and Gaming - An Agent Based Approach | p. 218 |
| Boxed Economy Foundation Model: Model Framework for Agent-Based Economic Simulations | p. 227 |
| Rough Set Theory and Granular Computing | |
| Workshop on Rough Set Theory and Granular Computing - Summary | p. 239 |
| Bayes' Theorem Revised - The Rough Set View | p. 240 |
| Toward Intelligent Systems: Calculi of Information Granules | p. 251 |
| Soft Computing Pattern Recognition: Principles, Integrations, and Data Mining | p. 261 |
| Identifying Upper and Lower Possibility Distributions with Rough Set Concept | p. 272 |
| On Fractals in Information Systems: The First Step | p. 278 |
| Generalizations of Fuzzy Multisets for Including Infiniteness | p. 283 |
| Fuzzy c-Means and Mixture Distribution Model for Clustering Based on L[subscript 1]-Space | p. 289 |
| On Rough Sets under Generalized Equivalence Relations | p. 295 |
| Two Procedures for Dependencies among Attributes in a Table with Non-deterministic Information: A Summary | p. 301 |
| An Application of Extended Simulated Annealing Algorithm to Generate the Learning Data Set for Speech Recognition System | p. 306 |
| Generalization of Rough Sets with [alpha]-Coverings of the Universe Induced by Conditional Probability Relations | p. 311 |
| On Mining Ordering Rules | p. 316 |
| Non-additive Measures by Interval Probability Functions | p. 322 |
| Susceptibility to Consensus of Conflict Profiles | p. 327 |
| Analysis of Image Sequences for the Unmanned Aerial Vehicle | p. 333 |
| The Variable Precision Rough Set Inductive Logic Programming Model and Web Usage Graphs | p. 339 |
| Optimistic Priority Weights with an Interval Comparison Matrix | p. 344 |
| Rough Set Theory in Conflict Analysis | p. 349 |
| Dealing with Imperfect Data by RS-ILP | p. 354 |
| Extracting Patterns Using Information Granules: A Brief Introduction | p. 359 |
| Classification Models Based on Approximate Bayesian Networks | p. 364 |
| Identifying Adaptable Components - A Rough Sets Style Approach | p. 370 |
| Rough Measures and Integrals: A Brief Introduction | p. 375 |
| Association Rules in Semantically Rich Relations: Granular Computing Approach | p. 380 |
| A Note on Filtration and Granular Reasoning | p. 385 |
| A Note on Conditional Logic and Association Rules | p. 390 |
| Analysis of Self-Injurious Behavior by the LERS Data Mining System | p. 395 |
| A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory | p. 400 |
| A Design of Architecture for Rough Set Processor | p. 406 |
| Chance Discovery | |
| The Scope of Chance Discovery | p. 413 |
| Chance Discovery Using Dialectical Argumentation | p. 414 |
| Methodological Considerations on Chance Discovery | p. 425 |
| Future Directions of Communities on the Web | p. 435 |
| A Document as a Small World | p. 444 |
| Support System for Creative Activity by Information Acquirement through Internet | p. 449 |
| An Approach to Support Long-Term Creative Thinking and Its Feasibility | p. 455 |
| Chance Discovery by Creative Communicators Observed in Real Shopping Behavior | p. 462 |
| The Role of Counterexamples in Discovery Learning Environment: Awareness of the Chance for Learning | p. 468 |
| Integrating Data Mining Techniques and Design Information Management for Failure Prevention | p. 475 |
| Action Proposal as Discovery of Context (An Application to Family Risk Management) | p. 481 |
| Retrieval of Similar Time-Series Patterns for Chance Discovery | p. 486 |
| Fuzzy Knowledge Based Systems and Chance Discovery | p. 491 |
| Challenge in Knowledge Discovery and Datamining | |
| JSAI KDD Challenge 2001: JKDD01 | p. 499 |
| Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications | p. 500 |
| Extracting Meningitis Knowledge by Integration of Rule Induction and Association Mining | p. 508 |
| Basket Analysis on Meningitis Data | p. 516 |
| Extended Genetic Programming Using Apriori Algorithm for Rule Discovery | p. 525 |
| Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model | p. 533 |
| Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR | p. 541 |
| Author Index | p. 549 |
| Subject Index | p. 551 |
| Table of Contents provided by Blackwell. All Rights Reserved. |