Volume on economic simulations in Swarm

[Benedikt Stefansson]

The code for all the models published in this volume should
be available at the SDG website (http://www.swarm.org) in a
few weeks.

Please feel free to distribute this announcement to
interested parties.

=====

We are pleased to announce that Kluwer Academic Publisher
has published the first book on modeling with the Swarm tool
kit titled:

Economic Simulations in Swarm: Agent Based Modelling and
Object Oriented Programming

edited by
Francesco Luna
Università di Venezia Ca'Foscari, Italy, and Oberlin
College, OH, USA

Benedikt Stefansson
University of California, Los Angeles and CASA Inc, NM USA

With contributions by A. Perrone, P. Terna, C. Bruun, L.
Mittone, P. Patelli, M.D. Sapienza, T.E. Jares, M. Corazza,
F. Lin, C. Schlueter-Langdon, the editors and others.

The book contains 10 models developed using the Swarm APIs,
in addition to a 50 pp tutorial for beginners in
Object-Oriented Simulation and Swarm.

Please refer to http://www.wkap.nl/bookcc.htm/0-7923-8665-5
for a short index.

========

ORDERING INFORMATION

Economic Simulations in Swarm: Agent Based Modelling and
Object Oriented Programming

Advances in Computational Economics, Volume 14

Kluwer Academic Publishers, Boston

Hardbound, ISBN 0-7923-8665-5
January 2000, 328 pp.
NLG 300.00 / USD 130.00 / GBP 89.75

=========

FROM THE BACK COVER

Computer simulations of economic systems are slowly gaining
ground
within the economic profession. However, such a process is
hindered by
a lack of communication among researchers who do not share a
common
language.  For its object-oriented structure and its
versatility,
Swarm has the necessary characteristics to become a credible
universal
language of agent-based simulations. Economic Simulations in
Swarm
collects a series of original articles in such domains as
macro and
micro economics, industrial organization, monetary theory,
and
finance, all linked by a common denominator: the use of the
Swarm
simulation platform. Swarm, a standard set of program
libraries,
allows users to construct simulations where a collection of
heterogeneous independent agents or elements interact
through discrete
events. This volume offers the first extensive tutorial to
the use of
these software libraries developed at the Santa Fe Institute
as part
of the ongoing research into complexity.





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