Includes bibliographical references and index.

Vol. 1. Nature-Inspired Computing and Social Sciences -- Section 1. Nature-Inspired Computing -- 1. Artificiality in Social Sciences -- 2. Multi-Cellular Techniques -- 3. Stochastic Optimization Algorithms -- 4. Evolutionary Algorithms -- 5. Genetic Programming -- 6. Evolutionary Multi-Objective Optimization in Finance --

Section 2. Social Modeling -- 7. Simulation in the Social Sciences -- 8. Multi-Agent Systems Research and Social Science Theory Building -- 9. A Dynamic Agent-Based Model of Corruption -- 10. Human Nature in the Adaptation of Trust -- 11. Cognitively Based Modeling of Scientific Productivity -- 12. Nature-Inspired Knowledge Mining Algorithms for Emergent Behaviour Discovery in Economic Models -- 13. The Grid for Nature-Inspired Computing and Complex Simulations --

Section 3. Economics -- 14. Agent-Based Computational Economics -- 15. Data Gathering to Build and Validate Small-Scale Social Models for Simulation -- 16. Modeling Qualitative Development -- 17. Agent-Based Modeling with Boundedly Rational Agents -- 18. Heterogeneous Learning Using Genetic Algorithms -- 19. Modeling the Firm as an Artificial Neural Network -- 20. Evolutionary Modeling and Industrial Structure Emergence -- 21. Population Symbiotic Evolution in a Model of Industrial Districts -- 22. Competitive Advantage of Geographical Clusters -- 23. A Simulation of Strategic Bargainings within a Biotechnology Cluster -- 24. Knowledge Accumulation in Hayekian Market Process Theory -- 25. On Technological Specialization in Industrial Clusters -- 26. Simulating Product Invention Using InventSim --

Vol. 2. Nature-Inspired Computing and Management -- Section 4. Design and Manufacturing -- 27. Human-Centric Evolutionary Systems in Design and Decision-Making -- 28. Genetic Algorithms for Organizational Design and Inspired by Organizational Theory -- 29. Autonomous Systems with Emergent Behavior -- 30. An Evolutionary Algorithm for Decisional Assistance to Project Management -- 31. How Genetic Algorithms Handle Pareto-Optimality in Design and Manufacturing --

Section 5. Operations and Supply Chain Management -- 32. Evolutionary Optimization in Production Research -- 33. Ant Colony Optimization and Multiple Knapsack Problem -- 34. A New Way to Reorganize a Productive Department in Cells -- 35. Agent-Oriented Modeling and Simulation of Distributed Manufacturing -- 36. Application of RAP/AOR to the Modeling and Simulation of a Ceramics Factory -- 37. Building Distribution Networks Using Cooperating Agents -- 38. Games, Supply Chains, and Automatic Strategy Discovery Using Evolutionary Computation -- 39. Applications of Neural Networks in Supply Chain Management -- 40. An Object-Oriented Framework for Rapid Genetic Algorithm Development -- 41. Applications of JGA to Operations Management and Vehicle Routing -- 42. Solving Facility Location Problems with a Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs) -- 43. Worker Performance Modeling in Manufacturing Systems Simulation --

Section 6. Information Systems -- 44. Toward an Agent-Oriented Paradigm of Information Systems -- 45. Caste-Centric Development of Agent-Oriented Information Systems -- 46. Evolving Learning Ecologies -- 47. Efficient Searching in Peer-to-Peer Networks Using Agent-Enabled Ant Algorithms --

Section 7. Commerce and Negotiation -- 48. An Annealing Protocol for Negotiating Complex Contracts -- 49. Agents for Multi-Issue Negotiation -- 50. An Introduction of Evolutionary Computation in Auctions -- 51. Virtual Organization Support through Electronic Institutions and Normative Multi-Agent Systems --

Section 8. Marketing -- 52. Co-Evolving Better Strategies in Oligopolistic Price Wars -- 53. Social Anti-Percolation and Negative Word of Mouth -- 54. Complexity-Based Modelling Approaches for Commercial Applications --

Section 9. Finance -- 55. Genetic Programming for Spatiotemporal Forecasting of Housing Prices -- 56. Multiattribute Methodologies in Financial Decision Aid -- 57. Multi-Objective Optimization Evolutionary Algorithms in Insurance-Linked Derivatives -- 58. Modeling an Artificial Stock Market.

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"This book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations management"--Provided by publisher.

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Mode of access: World Wide Web.