Connectionist Approaches in Economics and Management Sciences

1. Front Matter

   Pages i-xviii

   PDF

2. Advances in Connectionist Approaches in Economics and Management Sciences

   1. Front Matter

      Pages 1-1

      PDF

   2. Evolution of complex economic systems and uncertain information

      • Jean-Pierre Aubin

      Pages 3-29

   3. Possibilistic case-based decisions

      • Didier Dubois, Eyke Hüllermeier, Henri Prade

      Pages 31-48

   4. Introduction to multilayer perceptron and hybrid hidden Markov models

      • Joseph Rynkiewicz

      Pages 49-69

   5. Issues and dilemmas in cognitive economics

      • Bernard Paulre

      Pages 71-108

3. Applications in Economics and Management Sciences

   1. Front Matter

      Pages 109-109

      PDF

   2. Working times in atypical forms of employment: the special case of part-time work

      • Patrick Letremy, Marie Cottrell

      Pages 111-129

   3. Work and employment policies in French establishments in 1998

      • Séverine Lemiere, Corinne Perraudin, Héloïse Petit

      Pages 131-144

   4. Measuring and optimizing the validity of Means-End data

      • Jacques-Marie Aurifeille, Stéphane Manin

      Pages 145-163

   5. Synergy modelling and financial valuation: the contribution of Fuzzy Integrals

      • Xavier Bry, Jean-François Casta

      Pages 165-182

   6. Mechanisms of discipline and corporate performance: Evidence from France

      • Eric Severin

      Pages 183-202

   7. Approximation by radial basis function networks

      • Amaury Lendasse, John. Lee, Eric De Bodt, Vincent Wertz, Michel Verleysen

      Pages 203-214

   8. The dynamics of the term structure of interest rates: an Independent Component Analysis

      • Franck Moraux, Christophe Villa

      Pages 215-232

   9. Classifying hedge funds with Kohonen maps: A first attempt

      • Bertrand Maillet, Patrick Rousset

      Pages 233-259

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.

• Hidden Markov Model
• Lemma
• algorithms
• evolution
• fuzzy
• modeling

• CREREG CNRS, University of Rennes, France

  Cédric Lesage

• SAMOS MATISSE CNRS, University of Paris 1, France

  Marie Cottrell

Policies and ethics