Handbook of Computational Economics
-10%
portes grátis
Handbook of Computational Economics
Agent-Based Computational Economics
Judd, Kenneth L. (Hoover Institution, Stanford, CA, USA); Tesfatsion, Leigh (Iowa State University, Ames, IA, USA)
Elsevier Science & Technology
05/2006
904
Dura
Inglês
9780444512536
15 a 20 dias
Surveys the research on Agent-based Computational Economics, the computational study of economic processes modeled as dynamic systems of interacting agents. This book covers such topics as: learning; empirical validation; network economics; social dynamics; financial markets; innovation and technological change; market design; and more.
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).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Surveys the research on Agent-based Computational Economics, the computational study of economic processes modeled as dynamic systems of interacting agents. This book covers such topics as: learning; empirical validation; network economics; social dynamics; financial markets; innovation and technological change; market design; and more.
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).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
