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Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications

Book Description

Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI). This comprehensive collection provides libraries with a one-stop resource with an in-depth look into the most pertinent AI advances that will lead to the most valuable applications.

Table of Contents

  1. Copyright
  2. Associate Editors
  3. Editorial Review Board
  4. Preface
  5. Distributed Agent Applications and Decision Support
    1. Designing Multi-Agent Systems from Logic Specifications: A Case Study
      1. ABSTRACT
      2. INTRODUCTION
      3. MODELING MULTI-AGENT SYSTEMS BY CHEMICAL REACTION MODELS
      4. PROGRAM SYNTHESIS FOR GAMMA
      5. DESIGNING MULTI-AGENT SYSTEMS FROM LOGIC SPECIFICATIONS
      6. IMPLEMENTATION
      7. FUTURE PLAN
      8. RELATED WORKS
      9. CONCLUSION
      10. ACKNOWLEDGEMENT
      11. REFERENCES
      1. APPENDIX A. DETERMINING BOUNDS OF QUANTIFIED VARIABLES
    2. Multi-Agent Architecture for Knowledge-Driven Decision Support
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. XML AND DECISION TREES FOR KNOWLEDGE REPRESENTATION AND EXCHANGE
      5. INTELLIGENT KNOWLEDGE-BASED DECISION SUPPORT ARCHITECTURE (IKMDSA)
      6. IMPLEMENTATION OF THE IKMDSA ARCHITECTURE AND ILLUSTRATIVE EXAMPLE
      7. BUSINESS APPLICATION
      8. CONCLUSION, LIMITATIONS AND FUTURE DIRECTION FOR RESEARCH
      9. REFERENCES
    3. A Decision Support System for Trust Formalization
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. THE FUZZY INFERENCE SYSTEM
      5. JUSTIFICATION OF THE USE OF FUZZY LOGIC TO EVALUATE TRUST
      6. THE CONSTRUCTION OF THE RULES BASE
      7. SYSTEM EVALUATION
      8. COMPARISON OF THE FUZZY MODEL WITH OTHER MODELS
      9. CONCLUSION AND FUTURE WORK
      10. REFERENCES
    4. Using Misunderstanding and Discussion in Dialog as a Knowledge Acquisition or Enhancement Procecss
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE THEORETICAL FRAMEWORK
      5. SYSTEM ARCHITECTURE AND IMPLEMENTATION
      6. CONCLUSION
      7. REFERENCES
    5. Improving E-Trade Auction Volume by Consortium
      1. ABSTRACT
      2. INTRODUCTION
      3. MODEL FOR AGENT TRANSACTIONS
      4. PROCEDURES OF AGENT TRADING
      5. CONCLUDING REMARKS
      6. REFERENCES
      7. ENDNOTES
    6. Extending Loosely Coupled Federated Information Systems Using Agent Technology
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. A MOTIVATING EXAMPLE
      5. CONCLUSION
      6. REFERENCES
    7. Modeling Fault Tolerant and Secure Mobile Agent Execution in Distributed Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. THE MOBILE CODE PARADIGM
      4. SECURITY CONCERNS OF MOBILE CODE PARADIGMS
      5. MODEL
      6. SECURITY ISSUES OF THE MOBILE AGENT
      7. SECURITY MODELING AND EVALUATION FOR THE MOBILE AGENT
      8. EVALUATION RESULTS AND INFLUENCE OF THE SIZE OF THE AGENT
      9. CONCLUSION
      10. REFERENCES
  6. Search and Retrieval
    1. Search Engine Performance Comparisons
      1. ABSTRACT
      2. INTRODUCTION
      3. PERFORMANCE METRICS FOR WEB SEARCH ENGINES
      4. GOALS AND METRICS OF THE STUDY
      5. EXPERIMENT METHODS
      6. RESULTS AND ANALYSIS
      7. CONCLUSION
      8. REFERENCES
    2. A User-Centered Approach for Information Retrieval
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE OVERVIEW
      4. SYSTEM ARCHITECTURE
      5. SYMILARITY METRIC
      6. USING EXAMPLE
      7. EXPERIMENTAL RESULTS
      8. CONCLUSION
      9. REFERENCES
    3. Classification and Retrieval of Images from Databases Using Rough Set Theory
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK AND PROBLEM DEFINITION
      4. ROUGH SET THEORY: THEORETICAL BACKGROUND
      5. A RULE-BASED SYSTEM FOR IMAGE CLASSIFICATION
      6. EXPERIMENTAL RESULTS AND DISCUSSION
      7. CONCLUSION AND FUTURE WORK
      8. NOTE
      9. REFERENCES
      10. ENDNOTE
    4. Supporting Text Retrieval by Typographical Term Weighting
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORKS
      4. WEIGHTING OF HTML TAGS
      5. TAG-BASED EXPERIMENTS
      6. TYPOGRAPHIC TERM WEIGHTING
      7. EVALUATION
      8. SUMMARY AND CONCLUSION
      9. REFERENCES
      10. ENDNOTES
    5. Web Mining by Automatically Organizing Web Pages into Categories
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND AND RELATED METHODS
      4. BI-DIRECTIONAL HIERARCHICAL CLUSTERING ALGORITHM
      5. CONCLUSION AND FUTURE RESEARCH
      6. ACKNOWLEDGMENT
      7. REFERENCES
    6. Mining Matrix Pattern from Mobile Users
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PROPOSED METHOD: MATRIX PATTERN
      5. PERFORMANCE EVALUATIONS
      6. RELATED WORK
      7. CONCLUSION AND FUTURE WORK
      8. REFERENCES
  7. Information Systems and Modeling
    1. Conceptual Modeling of Events for Active Information Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. REFERENCES
    2. Information Modeling and the Problem of Universals
      1. ABSTRACT
      2. INTRODUCTION
      3. EARLIER WORK
      4. AN INTUITIVE INTRODUCTION TO THE PROBLEM OF UNIVERSALS
      5. A BRIEF HISTORY OF PROBLEM OF UNIVERSALS
      6. THE PROBLEM OF UNIVERSAL AND INFORMATION MODELING
      7. EXTENDING THE PROBLEM OF UNIVERSALS TO INFORMATION MODELING
      8. AN ILLUSTRATIVE EXAMPLE: WHAT IS A STUDENT?
      9. IMPLICATIONS FOR INFORMATION MODELING
      10. CONCLUSION
      11. REFERENCES
    3. Empirical Inference of Numerical Information into Causal Strategy Models by Means of Artificial Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. A SYNTHETIC CONCEPT OF CAUSALITY BETWEEN BUSINESS VARIABLES
      5. AN EMPIRICAL VALIDATION APPROACH FOR CAUSAL STRATEGY MODELS
      6. APPROXIMATION OF UNKNOWN CAUSAL FUNCTIONS
      7. EXPERIMENTAL RESULTS AND PROOF OF CONCEPT
      8. CONCLUSION
      9. REFERENCES
      10. ENDNOTES
    4. Improving Mobile Web Navigation Using N–Grams Prediction Models
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. THE PROPOSED APPROACH
      5. PERFORMANCE EVALUATION
      6. CONCLUSION AND FUTURE WORK
      7. REFERENCES
  8. Supply Chain Management
    1. Forecasting Supply Chain Demand Using Machine Learning Algorithms
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. RESEARCH METHODOLOGY
      5. EXPERIMENTAL DESIGN
      6. RESULTS
      7. CONCLUSION AND DISCUSSION
      8. REFERENCES
    2. APPENDIX A. SELECTED CATEGORIES FROM STATISTICS CANADA MANUFACTURING SURVEY
    3. Supporting Demand Supply Network Optimization with Petri Nets
      1. ABSTRACT
      2. INTRODUCTION
      3. DSN NET: NET FORMALISM FOR DEMAND SUPPLY NETWORKS
      4. REACHABILITY ANALYSIS OF DSN NET
      5. NOKIA IMPLEMENTATION AND CASE STUDY
      6. DISCUSSION AND FUTURE WORK
      7. REFERENCES
  9. Compilation of References
  10. About the Contributors
  11. Index