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Titolo: |
New Frontiers in Artificial Intelligence : Joint JSAI 2001 Workshop Post-Proceedings / / edited by Takao Terano, Toyoaki Nishida, Akira Namatame, Syrusaku Tsumoto, Yukio Ohsawa, Takashi Washio
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Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
Edizione: | 1st ed. 2001. |
Descrizione fisica: | 1 online resource (XXVIII, 556 p.) |
Disciplina: | 006.3 |
Soggetto topico: | Artificial intelligence |
Robotics | |
Automation | |
Computer engineering | |
Information storage and retrieval | |
Application software | |
User interfaces (Computer systems) | |
Artificial Intelligence | |
Robotics and Automation | |
Computer Engineering | |
Information Storage and Retrieval | |
Information Systems Applications (incl. Internet) | |
User Interfaces and Human Computer Interaction | |
Persona (resp. second.): | TeranoTakao |
NishidaToyoaki | |
NamatameAkira | |
TsumotoSyrusaku | |
OhsawaYukio | |
WashioTakashi | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
Nota di contenuto: | 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 -- The Scope 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. |
Titolo autorizzato: | New Frontiers in Artificial Intelligence ![]() |
ISBN: | 3-540-45548-5 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910143919503321 |
Lo trovi qui: | Univ. Federico II |
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