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Handbook of computational economics. Volume 2, Agent-based computational economics /
The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic systems of interact...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
Elsevier,
2006.
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| Colección: | Handbooks in economics ;
bk. 13. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Preface (L. Tesfatsion, K.L. Judd). Part 1. ACE research reviews. 1. Agent-based computational economics: A constructive approach to economic theory (L. Tesfatsion). 2. Computationally intensive analyses in economics (K.L. Judd). 3. Agent learning representation: Advice on modelling economic learning (T. Brenner). 4. Agent-based models and human subject experiments (J. Duffy). 5. Economic activity on fixed networks (A.W. Wilhite). 6. ACE models of endogenous interactions (N.J. Vriend). 7. Social dynamics: Theory and applications (H. Peyton Young). 8. Heterogeneous agent models in economics and finance (C. Hommes). 9. Agent-based computational finance (B. LeBaron). 10. Agent-based models of innovation and technological change (H. Dawid). 11. Agent-based models of organizations (M-H. Chang, J.E. Harrington, Jr.). 12. Market design using agent-based models (R. Marks). 13. Automated markets and trading agents (J.J. MacKie-Mason, M. Wellman). 14. Computational methods and models of politics (K. Kollman, S.E. Page). 15. Governing social-ecological systems (M.A. Janssen, E. Ostrom). 16. Computational laboratories for spatial agent-based models (C. Dibble). Part 2. Perspectives on the ACE methodology. Out-of-equilibrium economics and agent-based modeling (W.B. Arthur). Agent-based modeling as a bridge between disciplines (R. Axelrod). Remarks on the foundations of agent-based generative social science (J.M. Epstein). Coordination issues in long-run growth (P. Howitt). Agent-based macro (A. Leijonhufvud). Some fun, thirty-five years ago (T.C. Schelling). Part 3. Guideline for newcomers to agent-based modeling. A guide for newcomers to agent-based modeling in the social sciences (R. Axelrod, L. Tesfatsion).