Handbook of research on nature-inspired computing for economics and management

"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 publ...

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Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Rennard Jean-Philippe.
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2007.
Subjects:
Online Access:View fulltext via EzAccess
Table of Contents:
  • 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.