Editors:
- reports recent research results Computation Intelligence in Finance
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 185)
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Table of contents (11 chapters)
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Front Matter
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Natural Computing in Computational Finance (Volume 2): Introduction
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Part I Financial Modelling
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Front Matter
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Part II Agent-Based Modelling
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Front Matter
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Back Matter
About this book
Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems.
This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.
Editors and Affiliations
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University College Dublin, Belfield, Dublin, Ireland
Anthony Brabazon, Michael O’Neill
Bibliographic Information
Book Title: Natural Computing in Computational Finance
Book Subtitle: Volume 2
Editors: Anthony Brabazon, Michael O’Neill
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-95974-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-95973-1Published: 13 March 2009
Softcover ISBN: 978-3-642-10112-0Published: 28 October 2010
eBook ISBN: 978-3-540-95974-8Published: 30 January 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 250
Topics: Economics, general, Mathematical and Computational Engineering, Artificial Intelligence