This second book on financial and economic simulations in Swarm marks the continued progress by a group of researchers to incorporate agent-based computer models as an important tool within their disci pline. It is encouraging to see such a clear example of Swarm helping to foster a community of users who rely on the Swarm framework for their own analyses. Swarm aims at legitimizing agent-based computer models as a tool for the study of complex systems. A further goal is that a common base framework will lead to the growth of user communities in specific areas of application. By providing an organizing framework to guide the development of more problem-specific structures, and by dealing with a whole range of issues that affect their fundamental correctness and their ability to be developed and reused, Swarm has sought to make the use of agent-based models a legitimate tool of scientific investigation that also meets the practical needs of investigators within a community.
Erscheinungsdatum: 23.10.2012

lgrsnf/A:\compressed\10.1007%2F978-1-4615-0785-7.pdf

nexusstc/Agent-Based Methods in Economics and Finance/a0a8c13161724c82181a06cd735aa329.pdf

zlib/Business & Economics/Charlotte Bruun (auth.), Francesco Luna, Alessandro Perrone (eds.)/Agent-Based Methods in Economics and Finance: Simulations in Swarm_2132956.pdf

Alessandro Perrone; Francesco Luna

Springer London, Limited

Springer Nature

Advances in Computational Economics, 1. ed. 2002, New York, NY, 2002

Advances in computational economics, Boston, MA, 2002

Softcover reprint of the original 1st ed. 2002, 2012

United States, United States of America

Springer Nature, New York, NY, 2012

1, 20121206

lg979033

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This volume on financial and economic simulations in Swarm marks the continued progress by a group of researchers to incorporate agent-based computer models as an important tool within their discipline. Swarm promotes agent-based computer models as a tool for the study of complex systems. A common language is leading to the growth of user communities in specific areas of application. Furthermore, by providing an organizing framework to guide the development of more problem-specific structures, and by dealing with a whole range of issues that affect their fundamental correctness and their ability to be developed and reused, Swarm has sought to make the use of agent-based models a legitimate tool of scientific investigation that also meets the practical needs of investigators within a community. Swarm's principal foundation is an object-oriented representation of active agents interacting among themselves and with their environment. To this base layer it adds its own structures to drive, record and portrait the events that occur across this world. The specific contents of any world, however, are up to the experimenter to provide, either by building them from scratch or by tapping previous contributions. This book is notable in assembling a rich array of such contributions, which are significant in their own right, but which can also be mined to extract the reusable elements in their respective areas of finance and economics. It also presents three interesting software additions with tutorials in the form of simple financial and economic applications. A Swarm meta-language closer to a `natural language', the use of internet-augmented Swarm for experimental economics, and a Swarm visual builder will meet the challenges launched by other agent-based modelling competitors. The Swarm community at large can benefit greatly from the lead that the growing field of computational economics is taking to address its own needs, as represented by this book

Front Matter....Pages i-xxxi
Front Matter....Pages 1-1
Prospect for an Economics Framework for Swarm....Pages 3-35
Front Matter....Pages 37-37
Automated Trading Experiments with Maml....Pages 39-61
VSB — Visual Swarm Builder — A Visual tool for Swarm Agent Based Environment....Pages 63-85
SWIEE — a Swarm Web Interface for Experimental Economics....Pages 87-107
Front Matter....Pages 109-109
Contagion of Financial Crises un- der Local and Global Networks....Pages 111-131
Simulating Fractal Financial Markets....Pages 133-155
Growing Theories from the “Bottom up”. A Simple Entry-Exit Model....Pages 157-186
Cognitive Agents Behaving in a Simple Stock Market Structure....Pages 187-227
Front Matter....Pages 229-229
Production Partnerships Formation with Heterogeneous Agents: a Simulation in SWARM....Pages 231-262
Casinoworld:An Agent-based Model with Heterogeneous Risk Preferences and Adaptive Behavior....Pages 263-281
Search in Artificial Labour Makets: A Simulation Study....Pages 283-304
Back Matter....Pages 305-306

Twenty-two international specialists contribute 11 chapters to this volume, which is a sequel to the companion book also published by Kluwer, <i>Economic Simulations in Swarm</i>. The text offers new material to the debate on the emergence of a simulation language for agent-based computational economics. Coverage includes a prospect for an economic framework for Swarm; analyses of three new software tools, Multi-Agent Modeling Language (MAML), Swarm Web Interface for Experimental Economics (SWIEE), and Visual Swarm Builder (VSB); and discussions of financial applications. <p>Annotation © Book News, Inc., Portland, OR</p>

2013-08-01