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).