New frontiers in artificial intelligence : joint JSAI 2001 workshop post-proceedings

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Bibliographische Detailangaben
Körperschaft: Workshop on Japanese Society for Artificial Intelligence :Yokohama, Japann
Weitere Verfasser: Terano, Takao, 1952- (Verlagsleitung), Nishida, Toyoaki, 19..- (Verlagsleitung), Namatame, Akira, 1950- (Verlagsleitung)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Schriftenreihe:Lecture notes in computer science. Lecture notes in artificial intelligence 2253
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Anmerkung: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• New frontiers in artificial intelligence, joint JSAI 2001 workshop post-proceedings, Takao Terano, Toyoaki Nishida, Akira Namatame ... [et al.], 2001, Berlin, Springer, 1 vol. (XXVII-553 p.), Lecture notes in computer science, 3-540-43070-9
• New Frontiers in Artificial Intelligence, Texte imprimé, 9783662204054
Inhaltsangabe:
  • 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.