Shu-Heng Chen is Distinguished Professor at the Department of Economics at National Chengchi University, Taiwan.

"Chen’s book is a meticulous scholarly study that should be of particular interest to economists with a good analytical background, a broad acquaintance with economic research, a strong interest in empirically grounded economic modeling, and a willingness to consider alternative viewpoints with an open mind."Leigh Tesfatsion, Iowa State University, Journal of Economic Literature

• Part I. Ideas and Structures of the Book 1. Economics in an Interdisciplinary Context 2. Agent-Based Modeling in the Social Sciences Part II. Origins of ACE 3. The Markets Origin 4. Cellular Automata 5. Economic Tournament Origin 6. Agent-Based Modeling of Economic Experiments Part III. Designing Artificial Economic Agents 7. Calibrated Artificial 8. Zero-Intelligence Agents in the DA Markets 9. Autonomous Agents in the DA Part IV. Computational Intelligence 10. Reinforcement Learning 11. Fuzzy Logic and Rough Sets 12. Artificial Neural Networks 13. Evolutionary Part V. Agent-Based Financial Markets 14. Artificial Financial Markets with Programmed Agents 15. Artificial Financial Markets with Autonomous 16. Empirically-Based Agent-Based Models Part VI. Cognitive and Psychological Agent-Based Modeling 17. Economic Significance of Personal Traits 18. Neuroeconomic 19. Cognitive Agents 20. Culturally Sensitive Agents 21. Agent-Based Lottery Market Part VII. Networks 22. Graphs and Social Part VIII. Economics of Changes 23. Agent-Based Modular Economy 24. Epilogue

Shu-Heng Chen is Distinguished Professor at the Department of Economics at National Chengchi University, Taiwan.

"Chen’s book is a meticulous scholarly study that should be of particular interest to economists with a good analytical background, a broad acquaintance with economic research, a strong interest in empirically grounded economic modeling, and a willingness to consider alternative viewpoints with an open mind."Leigh Tesfatsion, Iowa State University, Journal of Economic Literature

• Part I. Ideas and Structures of the Book 1. Economics in an Interdisciplinary Context 2. Agent-Based Modeling in the Social Sciences Part II. Origins of ACE 3. The Markets Origin 4. Cellular Automata 5. Economic Tournament Origin 6. Agent-Based Modeling of Economic Experiments Part III. Designing Artificial Economic Agents 7. Calibrated Artificial 8. Zero-Intelligence Agents in the DA Markets 9. Autonomous Agents in the DA Part IV. Computational Intelligence 10. Reinforcement Learning 11. Fuzzy Logic and Rough Sets 12. Artificial Neural Networks 13. Evolutionary Part V. Agent-Based Financial Markets 14. Artificial Financial Markets with Programmed Agents 15. Artificial Financial Markets with Autonomous 16. Empirically-Based Agent-Based Models Part VI. Cognitive and Psychological Agent-Based Modeling 17. Economic Significance of Personal Traits 18. Neuroeconomic 19. Cognitive Agents 20. Culturally Sensitive Agents 21. Agent-Based Lottery Market Part VII. Networks 22. Graphs and Social Part VIII. Economics of Changes 23. Agent-Based Modular Economy 24. Epilogue

Shu-Heng Chen is Distinguished Professor at the Department of Economics at National Chengchi University, Taiwan.

"Chen’s book is a meticulous scholarly study that should be of particular interest to economists with a good analytical background, a broad acquaintance with economic research, a strong interest in empirically grounded economic modeling, and a willingness to consider alternative viewpoints with an open mind."Leigh Tesfatsion, Iowa State University, Journal of Economic Literature

• Part I. Ideas and Structures of the Book 1. Economics in an Interdisciplinary Context 2. Agent-Based Modeling in the Social Sciences Part II. Origins of ACE 3. The Markets Origin 4. Cellular Automata 5. Economic Tournament Origin 6. Agent-Based Modeling of Economic Experiments Part III. Designing Artificial Economic Agents 7. Calibrated Artificial 8. Zero-Intelligence Agents in the DA Markets 9. Autonomous Agents in the DA Part IV. Computational Intelligence 10. Reinforcement Learning 11. Fuzzy Logic and Rough Sets 12. Artificial Neural Networks 13. Evolutionary Part V. Agent-Based Financial Markets 14. Artificial Financial Markets with Programmed Agents 15. Artificial Financial Markets with Autonomous 16. Empirically-Based Agent-Based Models Part VI. Cognitive and Psychological Agent-Based Modeling 17. Economic Significance of Personal Traits 18. Neuroeconomic 19. Cognitive Agents 20. Culturally Sensitive Agents 21. Agent-Based Lottery Market Part VII. Networks 22. Graphs and Social Part VIII. Economics of Changes 23. Agent-Based Modular Economy 24. Epilogue