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Theoretical and Practical Frameworks for Agent-Based Systems

Book Description

Many everyday dilemmas existing in the real world are complex and difficult to solve or fix, ranging from tax evasion to dispatching taxis to scheduling patient visits in hospitals, and much more. Within these complicated problems, however, lies the potential to be simplified or solved by intelligent agents and multi-agent systems.<br><b>Theoretical and Practical Frameworks for Agent-Based Systems</b> tackles these real problems and many more, bringing the theoretical research of intelligent agents to researchers and practitioners in academia, government, and innumerable industries. Professionals and experts in every field ranging from education to healthcare and beyond will find this reference to be essential in the understanding of agents, and researchers currently working in the field of intelligent agents will benefit from this exciting examination of practical applications.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
    1. Agent and Multi-Agent Systems
    2. Agent-Based Systems
    3. Advances in Agent Technologies and Systems Series
    4. Agent System Design
    5. Agent Collaboration
    6. Social Simulation
    7. E-Business Simulation
    8. Simulation in Health Sciences
    9. Simulation in Ecosystem
    10. Conclusion
  5. Acknowledgment
  6. Section 1: Agent System Design
    1. Chapter 1: Design of Multi Agent System for Resource Allocation and Monitoring
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF RELATED RESEARCH
      4. MASRAM MODEL
      5. DESIGN OF MASRAM
      6. IMPLEMENTATION
      7. CONCLUSION
      8. FUTURE WORK
    2. Chapter 2: The Effects of Different Interaction Protocols in Agent-Based Simulation of Social Activities
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. MODEL DESCRIPTION AND DESIGN
      5. 4. INTERACTIONS
      6. 5. ILLUSTRATION AND HYPOTHESES
      7. 6. RESULTS
      8. 7. CONCLUSION AND FURTHER WORK
  7. Section 2: Agent Collaboration
    1. Chapter 3: A Collaborative Framework for Multiagent Systems
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. RELATED WORK
      4. 3. DEVELOPMENT OF THE FRAMEWORK
      5. 4. SYSTEM DEVELOPMENT AND SIMULATION
      6. 5. CONCLUSION
    2. Chapter 4: Initial Formulation of an Optimization Method Based on Stigmergic Construction
      1. ABSTRACT
      2. BACKGROUND AND MOTIVATION
      3. MODELING STIGMERIC CONSTRUCTION
      4. SYSTEM STATES BASED ON DISTANCES
      5. CONCLUSION
  8. Section 3: Social Simulation
    1. Chapter 5: Meta-Monitoring Using an Adaptive Agent-Based System to Support Dependent People in Place
      1. ABSTRACT
      2. INTRODUCTION
      3. HOME-MONITORING SYSTEMS AND MULTI-AGENT APPROACH
      4. ARCHITECTURE AND COOPERATION PROTOCOL
      5. IMPLEMENTATION AND FIRST RESULTS
      6. ANALYSIS OF RESULTS AND DISCUSSIONS
      7. CONCLUSION
    2. Chapter 6: Simulating Tolerance in Dynamic Social Networks
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. INDIVIDUAL BEHAVIOR RULES
      5. SOCIAL INTERACTION RULES
      6. MODELS OF TOLERANCE
      7. ENVIRONMENT
      8. EXPERIMENTS
      9. TOLERANCE IN DIFFERENT GAMES
      10. CONCLUSION
    3. Chapter 7: Modeling Virtual Footprints
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. RELATED WORK
      4. 3. MODELING ENTITIES AND PERSONAS
      5. 4. EXPERIMENTS
      6. 5. CONCLUSION
    4. Chapter 8: History Sensitive Cascade Model
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK AND BACKGROUND
      4. PROBLEM DEFINITIONS
      5. SOLUTIONS
      6. EXPERIMENTS
      7. CONCLUSION
    5. Chapter 9: Norms of Behaviour and Their Identification and Verification in Open Multi-Agent Societies
      1. ABSTRACT
      2. INTRODUCTION
      3. WHAT IS A NORM?
      4. THE V.C IN OPEN MULTI-AGENT SOCIETY
      5. REVISION OF THE NORM IDENTIFICATION ARCHITECTURE
      6. THE MODIFIED DYNAMIC VERIFICATION COMPONENT (M.D.V.C)
      7. EXPERIMENTS
      8. DISCUSSION
      9. CONCLUSION
      10. FUTURE WORK
  9. Section 4: E-Business Simulation
    1. Chapter 10: Enhanced Reputation Model with Forgiveness for E-Business Agents
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORKS
      4. REPUTATION MODEL WITH FORGIVENESS
      5. DESIGN AND IMPLEMENTATION
      6. EXPERIMENTAL RESULTS
      7. CONCLUSION
    2. Chapter 11: Multi-Agent Negotiation Paradigm for Agent Selection in B2C E-Commerce
      1. ABSTRACT
      2. INTRODUCTION
      3. PROBLEM DESCRIPTION
      4. PROPOSED APPROACH
      5. PROTOTYPE IMPLEMENTATION
      6. DESCRIPTION OF FLOW-CHARTS AND GUI FORMS
      7. EMPIRICAL VALIDATIONS AND EVALUATION
      8. RESULTS AND DISCUSSION
      9. CONCLUSION
    3. Chapter 12: The Performance of Grey System Agent and ANN Agent in Predicting Closing Prices for Online Auctions
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. RELATED WORK
      4. 3. CASE STUDY
      5. 4. GREY SYSTEM THEORY DESIGN
      6. 5. GREY SYSTEM THEORY PREDICTION ALGORITHM
      7. 6. THE ELECTRONIC SIMULATED MARKETPLACE
      8. 7. THE GREY SYSTEM PERDICTOR AGENT ALGORITHM
      9. 8. EXPERIMENTAL EVALUATION
      10. 9. CONCLUSION AND FUTURE WORK
    4. Chapter 13: Price Rigidity and Strategic Uncertainty
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. LITERATURE SURVEY
      4. 3. THE TRADITIONAL OLIGOPOLY PRICING MODEL
      5. 4. OLIGOPOLY PRICING BY BOUNDEDLY RATIONAL AGENTS
      6. 5. SIMULATIONS
      7. CONCLUSION
  10. Section 5: Simulation in Health Sciences
    1. Chapter 14: A Spatial Agent-Based Model of Malaria
      1. ABSTRACT
      2. INTRODUCTION
      3. NON-SPATIAL ABMS OF MALARIA
      4. SPATIAL ABMS OF MALARIA
      5. THE AGENT-BASED MODELS
      6. THE NON-SPATIAL MODEL
      7. THE SPATIAL MODEL
      8. MODEL VERIFICATION
      9. SPATIAL HETEROGENEITY
      10. DISCUSSION
    2. Chapter 15: Assessing the Impact of Temperature Change on the Effectiveness of Insecticide-Treated Nets
      1. ABSTRACT
      2. INTRODUCTION AND BACKGROUND
      3. THE MODEL
      4. SIMULATION RESULTS
      5. DISCUSSION
    3. Chapter 16: A Framework for Modeling Genetically-Aware Mosquito Vectors for Sterile Insect Technique
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. COMPLEXITY OF MOSQUITOES
      4. 3. INTERVENTION BY HEREDITY
      5. 4. MOSQUITO VECTOR MODELING
      6. 5. PROOF OF CONCEPT
      7. 6. DISCUSSION
  11. Section 6: Simulation in Ecosystem
    1. Chapter 17: Quasi-PSO Algorithm for Modeling Foraging Dynamics in Social Mammals
      1. ABSTRACT
      2. INTRODUCTION
      3. MATERIAL AND METHODS
      4. RESULTS AND DISCUSSION
      5. CONCLUSION
  12. Compilation of References
  13. About the Contributors
  14. Index