Advances in Computational Management Science

Bio-Mimetic Approaches in Management Science

Editors: Aurifeille, Jacques-Marie, Deissenberg, Christopher (Eds.)

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About this book

Management Science is often confronted with optimization problems characterised by weak underlying theoretical models and complex constraints. Among them, one finds data analysis, pattern recognition (classification, multidimensional analysis, discriminant analysis) as well as modelling (forecasting, confirmatory analysis, expert system design). In recent years, biomimetic approaches have received growing attention from Marketing, Finance and Human Resource researchers and executives as effective tools for practically handling such problems. Biomimetic approaches include a variety of heuristic methods - such as neural networks, genetic algorithms, immunitary nets, cellular automata - that simulate nature's way of solving complex problems and, thus, can be considered as numerical transpositions of true life problem solving.
Bio-Mimetic Approaches in Management Science presents a selection of recent papers on biomimetic approaches and their application to Management Science. Most of these papers were presented at the last ACSEG/CAEMS International Congresses (Approches Connexionnistes en Sciences Economiques et de Gestion/Connectionnist Approaches in Economics and Management Science). All papers combine the discussion of conceptual issues with illustrative empirical applications, and contain detailed information on the way heuristics are practically implemented. The advantages and limits of the biomimetic approaches are discussed in several of the papers, either by comparing these approaches with more classical methods (logit models, clustering), or by investigating specific issues like overfitting and robustness. Synthesizing overviews are provided, as well as new tools for coping with some of the limitations of biomimetic methods.

Table of contents (13 chapters)

  • The Potential of Neural Networks Evaluated Within a Taxonomy of Marketing Applications

    Pandelidaki, Stefania (et al.)

    Pages 1-12

  • Complexity Control and Generalization in Multilayer Perceptrons

    Gallinari, Patrick (et al.)

    Pages 13-25

  • Application of Neural Networks to Bond Rating and House Pricing

    Daniels, Hennie (et al.)

    Pages 27-45

  • Connexionist Approach and Corporate Distress Diagnosis

    Casta, Jean-François (et al.)

    Pages 47-59

  • Comparison of the Predictivity of a Neural Network with Backpropagation with Those Using Linear Regression, Logistic and A.I.D. Methods for Direct Marketing Scoring

    Desmet, Pierre

    Pages 61-75

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-1-4757-2821-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-0-7923-4993-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-1-4419-4791-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Bio-Mimetic Approaches in Management Science
Editors
  • Jacques-Marie Aurifeille
  • Christopher Deissenberg
Series Title
Advances in Computational Management Science
Series Volume
1
Copyright
1998
Publisher
Springer US
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-1-4757-2821-7
DOI
10.1007/978-1-4757-2821-7
Hardcover ISBN
978-0-7923-4993-8
Softcover ISBN
978-1-4419-4791-8
Series ISSN
1388-4301
Edition Number
1
Number of Pages
X, 208
Topics