Artificial Economics: The Generative Method in Economics - Lecture Notes in Economics and Mathematical Systems 631 (Paperback)
  • Artificial Economics: The Generative Method in Economics - Lecture Notes in Economics and Mathematical Systems 631 (Paperback)
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Artificial Economics: The Generative Method in Economics - Lecture Notes in Economics and Mathematical Systems 631 (Paperback)

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Paperback 268 Pages / Published: 26/08/2009
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Simulation is used in economics to solve large econometric models, for large-scale micro simulations, and to obtain numerical solutions for policy design in top-down established models. But these applications fail to take advantage of the methods offered by artificial economics (AE) through artificial intelligence and distributed computing. AE is a bottom-up and generative approach of agent-based modelling developed to get a deeper insight into the complexity of economics. AE can be viewed as a very elegant and general class of modelling techniques that generalize numerical economics, mathematical programming and micro simulation approaches. The papers presented in this book address methodological questions and applications of AE to macroeconomics, industrial organization, information and learning, market dynamics, finance and financial markets.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783642029554
Number of pages: 268
Weight: 450 g
Dimensions: 235 x 155 x 15 mm
Edition: 2009 ed.


MEDIA REVIEWS
From the reviews: "Artificial Economics: The Generative Method in Economics represents the proceedings of the Artificial Economics Conference ... . Given the breadth of topics covered - from Auction Theory to labor markets ... certainly something to be found for everybody with an interest in Agent-Based Modeling in economics. ... I have enjoyed reading the contributions to this volume. ... This volume is an impressive snapshot of the current state of the art in Agent-Based Computational Economics and host to a lot of fresh ideas ... ." (Wolfgang Radax, Journal of Artificial Societies and Social Simulation, Vol. 13 (1), 2010)

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