W. Brian Arthur, S. N. Durlauf, and D. Lane (Eds.), The Economy as an
Evolving Complex System II, SFI Studies in the Sciences of Complexity,
Volume XXVII, Addison Wesley, 1997.
Proceedings of the Global Economy Workshop held at the Santa Fe Institute in August, 1995. A
review
of the proceedings volume by Gerald Silverberg (MERIT, Maastricht, the
Netherlands) is available.
Robert Aunger (Ed.), Darwinizing Culture: The Status of Memetics as
as a Science, Oxford University Press, Oxford, UK, 256 pp., March 2001.
ISBN: 0-192-63244-2.
Abstract:
From an Amazon.Com review by Howard E. Aldrich: "Unlike most edited
volumes based on conferences, which typically read like random collections of
papers glued between two covers, Aunger's edited volume displays a remarkable
coherence. Against all odds, he enticed a highly diverse group of academics
to Cambridge who then constructively debated the status of memetics as a
science. ... Aungur provides excellent introductory and concluding chapters,
which constitute valuable contributions in themselves. Chapter 1 beautifully
lays out the issues and provides a constructive guide to the issues over
which the contributers struggled. Chapter 11 concludes the book with an
assessment of the contributors' arguments and a frank admission of his own
skepticism. I highly recommend this book to anyone interested in the concept
of memes, cultural and social evolution, and the cultural divide between the
natural and social sciences."
F. C. Billari, T. Fent, A. Prskawetz, and J. Scheffran (Eds.), Agent-Based Computational Modelling:
Applications in Demography, Social, Economic and Environmental Sciences, Series: Contributions to Economics,
Springer, Physica-Verlag, 226pp., 2006 (Softcover). ISBN: 3-7908-1640-X
Abstract (From the Publisher): The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases."
Charlotte Bruun (Ed.), Advances in Artificial Economics: The Economy as a Complex Dynamic System, Springer Series: Lecture Notes in Economics and Mathematical Systems, Vol. 584, 2006, 296pp.
Abstract: This book is based on Agent-Based Computational Economics (ACE) papers presented at the second symposium on Artificial Economics 2006 (AE'2006) held in Aalborg, Denmark. It covers both well-known questions of economics, such as market efficiency, as well as new questions raised by the use of ACE modeling tools (e.g. social interaction networks).
Shu-Heng Chen (Ed.), Evolutionary Computation in Economics and
Finance, Physica-Verlag, Heidelberg, 2002.
Abstract:
The twenty chapters of this volume are divided into three sections:
(1) Games; (2) Agent-Based Computational Economics; and (3) Financial
Engineering.
David Colander (Ed.), Post Walrasian Macroeconomics: Beyond the Dynamic Stochastic General Equilibrium Model(book contents,html),
Cambridge University Press, Cambridge, UK, 2006.
Abstract: "This book provides state-of-the-art perspectives on macro theory from many of the world's leading theorists and methodologists. (It is suitable) as a course book or supplementary textbook in graduate macroeconomics. (The book also) includes a historical section that surveys the development of macroeconomics."
David Colander (Ed.), The Complexity Vision and the Teaching of
Economics, Edward Elgar Pub., June 2000, 328 pp., ISBN: 1-840-64252-1.
Abstract:
From the publisher: "This ground-breaking book focuses on the
implications of the complexity vision, such as that held by economists at the
Santa Fe Institute, for the teaching of economics. ... It asks the question:
how would the teaching of economics change if complexity is taken seriously?
An outstanding group of contributors, including Brian Arthur, Buz Brock, and
Duncan Foley, provide interesting and provocative answers to that question in
a non-technical and highly accessible style."
Francesco Luna and Benedikt Stefansson (Eds.), Economic Simulations in
Swarm: Agent-Based Modelling and Object-Oriented Programming, Kluwer
Academic Publishers, Dordrecht and London, 2000.
Francesco Luna and Alessandro Perrone (Eds.), Agent-Based Methods in
Economics and Finance: Simulations in Swarm, Kluwer Academic Publishers,
Dordrecht and London, 2001.
Philippe Mathieu, Bruno Beaufils, and Oliveier Brandouy (Eds.), Artificial Economics: Agent-Based Methods in Finance and Game Theory and Their Applications, Springer Series: Lecture Notes in Economics and Mathematical Systems, Volume 564, XIII, 237pp., 2006.
Abstract: "The purpose of this book is to give an up-to-date view of the scientific production in the fields of Agent-Based Computational Economics (mainly in Market Finance and Game Theory). Based on communications given at AE'2005 (Lille, USTL,France), this book offers a wide panorama of recent advances in ACE (both theoretical and methodological) that will interest academics as well as practitioners."
Michael J. Prietula, Kathleen M. Carley, and Les Gasser (Eds.),
Simulating Organizations: Computational Models
of Institutions and Groups(html),
MIT Press, 1998.
Abstract:
From the book blurb: "Although a great deal of work remains to be
done, the era is approaching when both theorists and practitioners will
routinely state theories, design organizations, and derive their implications
using widely shared computational tools. This volume brings together a range of work from many of the leading researchers in the field."
Flaminio Squazzoni (Ed.), Epistemological Aspects of Computer Simulation in the Social Sciences, Revised Selected and Invited Papers, Second International Workshop, EPOS 2006, Lecture Notes in Artificial Intelligence 5466, Springer-Verlag, Berlin, 2009.
Abstract:
Topics addressed in this volume include: epistemological and methodological issues (e.g., empirical foundations for agent-based modeling); the role of theory; the concepts and meanings of emergence; and the trade-off between simplification and complexification of models.
Leigh Tesfatsion and Kenneth L. Judd (Eds.), Handbook of Computational
Economics, Volume 2: Agent-Based Computational Economics,
Table of Contents and Abstracts (html)
and
Preface (pdf),
Handbooks in Economics Series, North-Holland/Elsevier, Amsterdam, the Netherlands, 2006.
Abstract:
This handbook comprises 16 chapters surveying agent-based computational economics research,
6 shorter essays providing personal perspectives, and a "getting started" guide for newcomers
to agent-based modeling in the social sciences. Research topics covered include: an introduction
to agent-based computational economics; computationally-intensive analyses in economics;
learning representations for computational agents; agent-based models and human-subject
experiments; economic activity on fixed networks; endogenous formation of economic networks;
social dynamics and the evolution of norms; heterogeneous agent modeling in economics and finance;
agent-based computational finance; agent-based models of innovation and technological change;
agent-based models of organizations; market design using agent-based models; automated markets
and trading agents; agent-based computational methods and models of politics; agent-based tools
for exploring the governance of social-ecological systems; and computational laboratories for
spatial agent-based modeling.
Itzhak Benenson and Paul M.
Torrens (Guest Eds.), Special issue on Geosimulation: Object-Based Modeling of Urban
Phenomena,
Computers, Environment, and Urban Systems,
Volume 28, 2004. See, in particular, the Lead Editorial(pdf,106K)
for this special issue by the Guest Editors.
Colloquium on Capturing Complexity Through Agent-Based
Modelling, Proceedings of the National Academy of Sciences, Volume
99 (supplement 3), 2002. This entire proceedings issue is available
here.
Special issue on Complex Systems, Science, Volume 284,
Issue 79, 2 April 1999, available
here.
Michael Cohen (Guest Ed.), Special Issue on Complexity, Organizational Science, Volume
10(3), May-June 1999.
Giorgio Fagiolo, Christopher Birchenhall, and Paul Windrum (Guest Eds.), Special Issue on Empirical Validation in Agent-Based Models, Computational Economics, Volume 30, Number 3, 2007.
Abstract: The papers included in this special issue explore the empirical validation of agent-based models (ABMs). They demonstrate that this issue is far from settled and features many difficult but exciting
challenges. Some are rooted in well-known and still-open problems of scientific methodology that concern empirical validation regardless of the particular family of models under scrutiny. Others are strongly related to aspects particular to ABMs.
Nigel Gilbert and Andrew Abbott (Guest Eds.), Special Issue on Social Science Computation,
American Journal of Sociology,
Volume 110, Number 4, January 2005. Abstracts of the special issue contributions can be viewed
here.
Charlotte K. Hemelrijk and Hanspeter Kunz (Guest Eds.), Special issue on Collective Effects of Human Behavior,
Artificial Life, Volume 9, Issue 4, Fall 2003.
Abstract:
Article topics include: simulation of market dynamics with
interactions between consumer psychology and social networks; global markets
and economic instability; an iterated learning framework for the emergence of
language; the evolution of an optimal lexicon under constraints from
embodiment; emergent patterns of mate choice in human populations; emergent
properties in small-scale societies; and the evolution of social behavior in
the prehistoric American southwest.
Kenneth L. Judd and Scott E. Page (Guest Eds.), Special Issue on Computational Models in Public Economic Theory,
Journal of Public Economic Theory, Volume 6, Number 2, May 2004.
Blake LeBaron and Peter Winker (Guest Eds.), Special issue on Agent-Based Models for Economic Policy Advice, Journal of Economics and Statistics, Vol. 228, Issues 2&3, 2008.
Abstract: This special issue is devoted to the use of agent-based models for economic policy advice. It presents a collection of research papers in different fields of application, including: electric power markets; transportation systems; financial markets; currency markets; technological innovation and growth; and monetary and fiscal policy analysis.
Thomas Lux and Michele Marchesi (Guest Eds.), Special Issue on Heterogeneous Interacting Agents in Financial
Markets, Journal of Economic Behavior and Organization, Volume 49, No. 2, 2002.
George Mailath (Guest Ed.), Symposium on Evolutionary Game Theory, Journal of Economic
Theory, Volume 57, 1992.
Sheri Markose (Guest Ed.), Special issue on Developments in Experimental and Agent-Based Computational Economics (ACE), Journal of Economic Interaction and Coordination,Volume 1, Number 2, December 2006.
Enrico Scalas (Guest Ed.), Special issue on Market Dynamics and Quantitative Economics, Physica A: Statistical Mechanics and its Applications, Volume 355, Issue 1, September 2005.
Special Issue on Simulation, American Behavioral Science, Volume 42, Number 10, 1999.
L. Tesfatsion (Guest Ed.), Special Double Issue on Agent-Based Computational Economics,
Journal of Economic Dynamics and Control, Volume 25, Issue Nos. 3-4, March 2001, pages 281-654.
Abstract:
The twelve articles included in this special issue use agent-based
computational laboratories to explore efficiency and welfare concerns in a
variety of market contexts: financial markets, labor markets, retail fish
markets, business-to-business markets, electricity markets, entertainment
markets, automated e-commerce markets, and cattle pasture access markets in
North Cameroon.
L. Tesfatsion (Guest Ed.), Special Issue on Agent-Based Computational Economics,
Computational Economics, Volume 18, Issue No. 1, August 2001.
Abstract:
The six articles included in this special issue use stylized
computational problem contexts to explore general economic concerns such as the evolution of norms, self-organization, and agent learning.
L. Tesfatsion (Guest Ed.), Special Issue on Agent-Based Modeling of Evolutionary Computational
Economics, IEEE Transactions on Evolutionary Computation, Volume
5, Issue Number 5, October 2001.
Abstract:
The nine articles included in this special issue use agent-based
computational laboratories to explore a wide range of economic issues:
Empirical regularities in stock markets and foreign exchange markets; new
product decisions in markets dominated by small numbers of adaptive firms;
referral networks in labor markets; effectiveness of new electricity trading
arrangements; evolution of trade networks; and unplanned coordination in
multi-market economies.
Douglas R. White (Guest Ed.), Special Issue on Networks and Complexity,
Complexity,
Volume 8, Number 1, September-October 2002.
Abstract:
This special issue, guest-edited by Douglas R. White (Anthropology,
UC Irvine), grew out of the August 2002 Founding Workshop for the Santa Fe
Institute's Network Dynamics Program, directed by James Crutchfield (Program
Director, SFI) and Duncan Watt (Sociology, Columbia University).
tesfatsi AT iastate.edu
Online ACE Course (Self-Study eBook)
Edited Volumes of Readings:
