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.
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.
