Handbook of Research on Nature Inspired Computing for Economics and Management

A book edited by Jean-Philippe Rennard, Grenoble Graduate School of Business, Grenoble, France.
Idea Group Reference, Hershey-PA, USA

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Volume 1: Nature Inspired Computing and Social Sciences

Foreword: A Cure for Dismal Science
Bonabeau, Eric, Icosystem Corporation

Section 1.1-Nature Inspired Computing

1. A Brief Introduction to Artificiality in Social Sciences
Rennard, Jean-Philippe, Grenoble Graduate School of Business, France

2. Multi-Cellular Techniques: from Social Insects to Collective Robotics
Anderson, Carl, Qbit LLC, USA

3. Stochastic Optimization Algorithms
Collet, Pierre, LIL, Université du Littoral, France, Rennard, Jean-Philippe, Grenoble Graduate School of Business, France

4. Evolutionary algorithms: A Quick Presentation
Collet, Pierre, LIL, Université du Littoral, France

5. Genetic Programming
Collet, Pierre, LIL, Université du Littoral, France

6. An Introduction to Evolutionary Multi-Objective Optimization
Coello Coello, Carlos Artemio, CINVESTAV-IPN, Mexico

Section 1.2- Social Modeling

7. Advancing the Art of Simulation in the Social Sciences
Axelrod, Robert, University of Michigan, USA

8. Multiagent Systems Research and Social Science Theory
Verhagen, Harko, Stockholm University & Royal Institute of Technology, Sweden

9. A Dynamic Agent-Based Model of Corruption
Chakrabarti , Rajesh, Dupree College of Management, USA

10. Human Nature in the Adaptation of Trust
Nooteboom , Bart, Tilberg University, Netherlands

11. Cognitively-Based Simulation of Academic Science
Naveh, Isaac, Rensselaer Polytechnic Institute, USA, Sun Ron, Rensselaer Polytechnic Institute, USA

12. Application of Nature-Inspired Knowledge Mining Algorithms for Emergent Behavior Discovery in Economic Models
Al-Dabass, David, Nottingham Trent University, UK

13. The Grid for Nature Inspired Computing and Complex Simulations: Possible Applications Allowed by the Technological State of the Art
Boero, Riccardo, University of Surrey, UK

Section 1.3- Economics

14. Agent-Based Computational Economics-An Introduction
Bruun, Charlotte, Aalborg University, Denmark.

15. Data gathering to build and validate small-scale social models for simulation. Two ways: strict control and stake-holders involvement
Rouchier, Juliette, CNRS, Greqam, Marseille, France

16. Modeling Qualitative Development -Agent Based Approaches in Economics
Pyka, Andreas, Universität Augsburg, Germany

17. Agent-based Modeling with Boundedly Rational agents
Ebenhöh , Eva, University of Osnabrück, Germany, Pahl-Wostl, Claudia, University of Osnabrück, Germany

18. Heterogeneous Learning Using Genetic Algorithms: Communication versus Experiments
Vallée, Thomas, Nantes University, France

19. Modeling the Firm as an Artificial Neural Network
Barr, Jason, Rutgers University, USA, Saraceno, Francesco, OFCE, France

20. Evolutionary Modeling as an Alternative Explanation of Industrial Structure Emergence
Kwasnicka, Halina, Wroclaw University of Technology, Poland, Kwasnicki, Witold, Wroclaw University, Poland

21. Population Symbiotic Evolution in a model of Industrial Districts
Merlone, Ugo, University of Torino, Italy, Terna, Pietro, University of Torino, Italy

22. Competitive advantage of Geographical Clusters: A Complexity Science Approach and an Agent-based Simulation Study
Giannoccaro, Ilaria, Polytechnic of Bari, Italy, Carbonara, Nunzia, Polytechnic of Bari, Italy, Vito, Albino, Polytechnic of Bari, Italy.

23. A Simulation of Strategic Bargainings within Biotechnology Clusters
Berro, Alain, Social Sciences University, Toulouse, France, Leroux, Isabelle, Le Mans University, France

24. Knowledge Accumulation in Hayekian Market Process Theory under Limited Imitability Assumptions
Saam, Nicole J., Maximilians-Universität, Germany, Kerber, Wolfgang, Philipps-Universität Marburg, Germany

25. On Technological Specialization in Industrial Clusters: An Agent-based Analysis
Dawid, Herbert , Universität Bielefeld, Germany, Wersching , Klaus, Universität Bielefeld, Germany

26. Simulating Product Invention using InventSim
Brabazon, Anthony, University College Dublin, Ireland, Silva, Arlindo,Ferreira de Sousa, Tiago, Polytechnic School Of Castelo Branco, Portugal, Matthews, Robin, Kingston University, UK, ONeill, Michael , University College Dublin, Ireland, Costa , Ernesto, University of Coimbra, Portugal.

Volume 2: Nature Inspired Computing and Management

Section 2.1- Design and Manufacturing

27. Human-centric Evolutionary Systems in Design and Decision-Making
Parmee, Ian, University of the West of England, Bristol, UK, Abraham, Johnson R., University of the West of England, Bristol, UK, Machwe, Azahar, University of the West of England, Bristol, UK

28. Double Duty: Genetic Algorithms for Organizational Design and Genetic Algorithms Inspired by Organizational Theory
Tian-Li Yu, University of Illinois at Urbana-Champaign, USA, Yassine, Ali A., University of Illinois at Urbana-Champaign, USA, Goldberg, David E., University of Illinois at Urbana-Champaign, USA

29. Autonomous Systems with Emergent Behavior
Di Marzo, Giovanna, University of Geneva, Swizerland

30. An Evolutionary Algorithm for Decisional Assistance to Project Management
Rochet, Samuel, LESIA, INSA Toulouse, France, Baron, Claude, LESIA, INSA Toulouse, France

31. Pareto-optimality in Design and Manufacturing and how Genetic Algorithms handle it
Chakraborti, Nirupam, Indian Institute of Technology, India

Section 2.2- Operations and Supply Chain Management

32. Evolutionary Optimization in Production Research
Dimopoulos , Christos, Cyprus College, Cyprus

33. Ant Colony Optimization and Multiple Knapsack Problem
Fidanova, Stefka, Bulgarian Academy of Science, Bulgaria

34. A new way to Reorganize a Productive Department in Cells through the Help of the Ant Behavior
Brun, Alessandro, Politecnico di Milano, Italy, Zorzini, Marta, Politecnico di Milano, Italy

35. Agent-Oriented Modeling and Simulation of Distributed Manufacturing
Taveter, Kuldar , University of Melbourne, Australia, Wagner, Gerd, Brandenburg University of Technology at Cottbus, Germany

36. Application of RAP/AOR to the Modeling and Simulation of a Ceramic Factory
Taveter, Kuldar, University of Melbourne, Australia

37. Building Distribution Networks Using Cooperating Agents
Urquhart, Neil, Napier University, UK

38. Games, Supply chains and Automatic Strategy Discovery using Evolutionary Computation
Gosling, Tim, University of Essex, UK, Jin, Nanlin, University of Essex, UK, Tsang, Edward, University of Essex, UK

39. Applications of Neural Networks in Supply Chain Management
Minis, Ioannis, University of the Aegean, Greece, Ampazis, Nikolaos, University of the Aegean, Greece

40. JGA: An Object-Oriented Framework for Rapid Development of Genetic Algorithms
Medaglia, Andrès L., Universidad de los Andes, Colombia, Gutiérrez, Eliécer, Universidad de los Andes, Colombia

41. Applications of JGA to Operations Management and Vehicle Routing
Medaglia, Andrès L., Universidad de los Andes, Colombia, Gutiérrez, Eliécer, Universidad de los Andes, Colombia

42. Solving Facility Location Problems using a Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs)
Medaglia, Andrès L., Universidad de los Andes, Colombia, Gutiérrez, Eliécer, Universidad de los Andes, Colombia, Villegas, Juan G., Universidad de Antioquia, Colombia

43. Worker Performance Modeling in Manufacturing. Simulation: Proposition of an Agent-Based Approach
Siebers, Peer-Olaf, University of Nottingham, UK

Section 2.3- Information Systems

44. Towards An Agent-Oriented Paradigm of Information Systems
Zhu, Hong, Oxford Brookes University, UK

45. Caste-centric Development of Agent Oriented Information
Shan, Lijun, National University of Defence Technology, Changsha, China, Shen, Rui, National Laboratory for Parallel and Distributed Processing, Changsha, China, Wang, Ji, National Laboratory for Parallel and Distributed Processing, Changsha, China, Zhu, Hong, Oxford Brookes University

46. Evolving Learning Ecologies
Dron, Jon, University of Brighton, UK

47. Efficient Searching in Peer-to-Peer Networks using Agent Enabled Ant Algorithms
Dasgupta, Prithviraj, University of Nebraska, USA

Section 2.4- Commerce and Negotiation

48. An Annealing Protocol for Negotiating Complex Contracts
Klein, Mark, MIT, USA, Faratin, Peyman, MIT, USA, Sayama, Hiroki, University of Electro-Communications, Japan, Bar-Yam, Yaneer, New England Complex Systems Institute, Harvard University, USA

49. Agents for Multi-Issue Negotiation
Debenham, John, University of Technology, Sydney, Australia

50. An introduction to Evolutionary Computation in Auctions: the Ausubel Format
Mochón, Asunción, UNED, Spain, Sáez, Yago, University Carlos III of Madrid, Spain, Quintana, David, University Carlos III of Madrid, Spain, Isasi , Pedro, University Carlos III of Madrid, Spain,

51. Supporting Virtual Organizations through Electronic Institutions and Normative Multi-Agent Systems
Cardoso, Henrique Lopes, University of Porto, Portugal, Rocha, Ana Paula, University of Porto, Portugal, Oliveira , Eugenio C., University of Porto, Portugal

Section 2.5-Marketing

52. Co-evolving Better Strategies in Oligopolistic Price Wars
Marks, Robert, Australian Graduate School of Management, Australia, Midgley , David, INSEAD, France, Cooper, Lee G., UCLA, USA

53. Social Anti-Percolation, Resistance and Negative Word-of-Mouth
Erez, Tom, Hebrew University of Jerusalem, Israël, Moldovan, Sarit, Hebrew University of Jerusalem, Israël, Solomon, Sorin, Hebrew University of Jerusalem, Israël

54. Complexity Based Modeling Approaches for Commercial Applications
Collings, David, BT, UK, Baxter, Nicola, BT, UK

Section 2.6-Finance

55. Spatiotemporal Forecasting of Housing Prices by Use of Genetic Programming
Kaboudan, M.A., University of Redlands, USA

56. Multiattribute Methodologies in Financial Decision Aid
Ciprian, M, University of Trieste, Italy, Kaucic, M., University of Trieste, Italy, Nogherotto, G., University of Trieste, Italy, Pediroda, Valentino, University of Trieste, Italy, Di Stefano, D., AREA Science Park, Italy

57. Multiobjective Optimization Evolutionary Algorithms for Mathematical Models of underlying catastrophic loss index of Insurance-Linked Derivatives
Pérez, María Jose, University Carlos III of Madrid, Spain, García, José, University Carlos III of Madrid, Spain, Marti, Luis, University Carlos III of Madrid, Spain, Molina, J.M., University Carlos III of Madrid, Spain

58. Modeling an Artificial Stock market: When Information Influence Market Dynamics
Lavigne, Stéphanie, ESC Toulouse, France, Sanchez, Stéphane, University of Toulouse, France