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About this book
Since the beginning of the 1980's, a lot of news approaches of biomimetic inspiration have been defined and developed for imitating the brain behavior, for modeling non linear phenomenon, for providing new hardware architectures, for solving hard problems. They are named Neural Networks, Multilayer Perceptrons, Genetic algorithms, Cellular Automates, Self-Organizing maps, Fuzzy Logic, etc. They can be summarized by the word of Connectionism, and consist of an interdisciplinary domain between neuroscience, cognitive science and engineering. First they were applied in computer sciences, engineering, biological models, pattern recognition, motor control, learning algorithms, etc. But rapidly, it appeared that these methods could be of great interest in the fields of Economics and Management Sciences. The main difficulty was the distance between researchers, the difference in the vocabulary used by the ones and the others, their basic background. The main notions used by these new techniques were not familiar to the Social and Human Sciences researchers. What are they ? Four of them are now very briefly introduced, but the reader will find more information in the following chapters.
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Table of contents (12 chapters)
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Front Matter
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Advances in Connectionist Approaches in Economics and Management Sciences
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Front Matter
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Applications in Economics and Management Sciences
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Connectionist Approaches in Economics and Management Sciences
Editors: Cédric Lesage, Marie Cottrell
Series Title: Advances in Computational Management Science
DOI: https://doi.org/10.1007/978-1-4757-3722-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2003
Hardcover ISBN: 978-1-4020-7535-3Published: 31 December 2003
Softcover ISBN: 978-1-4419-5379-7Published: 03 December 2010
eBook ISBN: 978-1-4757-3722-6Published: 09 March 2013
Series ISSN: 1388-4301
Edition Number: 1
Number of Pages: XVIII, 259
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Complex Systems, Business and Management, general, Artificial Intelligence, Mathematical Logic and Foundations, Statistical Physics and Dynamical Systems