by JürgenScheffran (Editor), ThomasFent (Editor), Francesco C . Billari (Editor), Alexia Prskawetz (Editor)
This book is the outcome of a project that started with the organisation of theTopicalWorkshopon Agent-BasedComputationalModelling. AnInst- ment for Analysing Complex Adaptive Systems in Demography, Economics and Environment at the Vienna Institute of Demography, December 4-6, 2003. The workshop brought together scholars from several disciplines, all- ing both for serious scienti?c debate and for informal conversation over a cup co?ee or during a visit to the wonderfulmuseums of Vienna. One of the nicest features of Agent-Based Modelling is indeed the opportunity that scholars ?nd a common language and discuss from their disciplinary perspective, in turn learning from other perspectives. Given the success of the meeting, we found it important to pursue the purpose of collecting these interdisciplinary contributions in a volume. In order to ensure the highest scienti?c standards for the book, we decided that all the contributions (with the sole exception of the introductory chapter) should have been accepted conditional on peer reviews. Generoushelpwasprovidedbyreviewers,someofwhomwereneither directly involved in the workshop nor in the book. All this would not have been possible without the funding provided by the Complex Systems N- work of Excellence (Exystence) funded by the European Union, the Vienna Institute of Demography of the Austrian Academy of Sciences, Universit' a Bocconi, and ARC Systems Research GmbH, and the help of the wonderful sta? ofthe Vienna Institute of Demography(in particular,Ani Minassianand Belinda Aparicio Diaz). Agent-Based Modelling is important, interesting and also fun-we hope this book contributes to showing that. Milano Francesco C.
Format: Paperback
Pages: 236
Publisher: Physica-Verlag HD
Published: 13 Mar 2006
ISBN 10: 379081640X
ISBN 13: 9783790816402
From the reviews:
Presenting and combining different approaches, the aim of the book is to describe the motivation for setting-up agent-based models and for studying emerging patterns in complex adaptive systems. ... is well written and contains much useful information for scholars not familiar with agent-based modelling. (Petra Ahrweiler, Journal of Artificial Societies and Social Simulation, April, 2007)