You are previewing Developments in Intelligent Agent Technologies and Multi-Agent Systems.
O'Reilly logo
Developments in Intelligent Agent Technologies and Multi-Agent Systems

Book Description

Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. This book is a collection of work that covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
    1. THE INTERNATIONAL JOURNAL OF AGENT TECHNOLOGIES AND SYSTEMS
    2. IJATS AS AN AGENT IN THE EMERGENCE OF A NEW SCIENCE
    3. THE (EMERGED) STRUCTURE OF THIS BOOK
    4. SECTION 1: CONCEPTS AND CHALLENGES
    5. SECTION 2: EMERGENCIES
    6. SECTION 3: APPLICATIONS
  5. Acknowledgment
  6. Section 1: Concepts and Challenges
    1. Chapter 1: Attending to Temporal Assumptions May Enrich Autonomous Agent Computer Simulations
      1. Abstract
      2. INTROduction
    2. Chapter 2: Temporally Autonomous Agent Interaction
      1. ABSTRACT
      2. INTRODUCTION
      3. MESSAGE ACTIVATION MODEL
      4. INTRODUCTION TO THE AGENT SOCIETY
      5. A SOCIETY OF AGENTS
      6. CONCLUSION
    3. Chapter 3: Statistical Properties of Social Group Evolution
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. The STATISTICAL PROPERTIES OF COMMUNITY EVOLUTION
      5. SUMMARY AND DISCUSSION
    4. Chapter 4: Two Informational Complexity Measures in Social Networks and Agent Communities
      1. Abstract
      2. INTRODUCTION
      3. Network Dynamics and Information
      4. INFORMATIONAL MEASURES OF COMPLEXITY
      5. REDUNDANCY
      6. PREDICTABILITY GAIN
      7. FINITARY AND INFINITARY PROCESSES
      8. EXCESS ENTROPY
      9. Measuring Community Dynamics
      10. The Community of Agents Parallel
      11. AN EXAMPLE
      12. Conclusion
    5. Chapter 5: Quantifying Disorder in Networks
      1. Abstract
      2. INTRODUCTION
      3. Future Research Directions
      4. PROOFS OF THE THEOREMS
  7. Section 2: Emergencies
    1. Chapter 6: Enhancing the Adaptation of BDI Agents Using Learning Techniques
      1. Abstract
      2. Incorporating Learning in BDI Agents
      3. BDI Agent-Oriented Programming
      4. Refining the Context Conditions of Plans
      5. Refinement of Context Conditions in Nondeterministic Environments
      6. Discussion and Conclusion
    2. Chapter 7: Reward Shaping and Mixed Resolution Function Approximation
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. Learning the Potential Function for Reward Shaping
      5. Experimental Design
      6. Experimental Domains
      7. Results
      8. Summary and Discussion
    3. Chapter 8: Inductive Logic Programming and Embodied Agents
      1. Abstract
      2. Introduction
      3. ILP in Robotics
      4. Possibilities to overcome the difficulties
      5. Conclusion
    4. Chapter 9: Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework
      1. Abstract
      2. Introduction
      3. Preliminaries
      4. The Cognitive Agent
      5. Examples of Agents Based on the Framework
      6. Conclusion and Directions for Further Research
    5. Chapter 10: Interactions in Context-Zero
      1. Abstract
      2. Introduction
      3. Background
      4. Discussion of Results
      5. Future Work
      6. Conclusion
    6. Chapter 11: Norm Emergence with Biased Agents
      1. Abstract
      2. Introduction
      3. Related work
      4. Social Learning Framework
      5. Experimental study
      6. Social dilemma Scenario
      7. Conclusion
    7. Chapter 12: Governance Mechanisms in Web 2.0
      1. ABSTRACT
      2. Introduction
      3. Part One: Theory Relevant to Understanding Social Regulation in Computer Mediated Environments
      4. Part Two: An Empirical Study of Influence Mechanisms in Wikipedia
      5. Conclusion and Future Work
  8. Section 3: Applications
    1. Chapter 13: A Multi-Agent Machine Learning Framework for Intelligent Energy Demand Management
      1. ABSTRACT
      2. INTRODUCTION
      3. PROBLEM DESCRIPTION
      4. The Learning Method for Optimal Cap Selection
      5. EXPERIMENTS
      6. CONCLUSION
    2. Chapter 14: A Step-By-Step Implementation of a Multi-Agent Currency Trading System
      1. ABSTRACT
      2. INTRODUCTION
      3. A HYBRID ARCHITECTURE FOR INTELLIGENT TRADING AGENTS
      4. A DIVERSIFIED FOREX INVESTMENT STRATEGY
      5. THE MULTI-AGENT FOREX TRADING SYSTEM
      6. CONCLUSION
    3. Chapter 15: Modeling a Multi-Agents System as a Network
      1. Abstract
      2. Introduction
      3. The Geometrical Characterization
      4. The Topological Characterization
      5. Results
      6. Conclusion and Future Work
    4. Chapter 16: Accounting Implications in Virtual Worlds
      1. ABSTRACT
      2. Virtual Goods
      3. Virtual Money
      4. Tax
      5. Model
      6. Other Considerations
      7. Discussion
    5. Chapter 17: Multi-Agent–Based Simulation of University Email Communities
      1. Abstract
      2. INTRODUCTION
      3. COMMUNITY DETECTION ALGORITHMS
      4. COMMUNITY DETECTION IN EMAIL NETWORKS
      5. University Email network
      6. CIUCEU MODEL
      7. Conclusions AND PERSPECTIVES
    6. Chapter 18: Impact on Learner Experience
      1. ABSTRACT
      2. INTRODUCTION
      3. PROBLEM DESCRIPTION
      4. REVIEW OF LITERATURE
      5. METHODOLOGY
      6. DATA ANALYSIS
      7. RESULTS
      8. GENERAL INSIGHTS
      9. SIGNIGICANCE OF THE STUDY
      10. CONCLUSION AND RECCOMENDATIONS
      11. RECENT DEVELOPMENTS IN PBL RESEARCH
    7. Chapter 19: Towards Learning ‘Self’ and Emotional Knowledge in Social and Cultural Human-Agent Interactions
      1. Abstract
      2. Introduction
      3. BACKGROUND
      4. CULTURAL AND EMOTIONAL LEARNING FOR SOCIAL AGENTS
      5. CONCLUSION
  9. Compilation of References
  10. About the Contributors
  11. Index