Cellular Automata, Dynamical Systems and Neural Networks

1. Front Matter

   Pages i-viii

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2. Cellular Automata and Transducers. A Topological View

   • François Blanchard

   Pages 1-22

3. Automata Network Models of Interacting Populations

   • Nino Boccara

   Pages 23-77

4. Entropy, Pressure and Large Deviation

   • Artur Lopes

   Pages 79-146

5. Formal Neural Networks: From Supervised to Unsupervised Learning

   • Jean-Pierre Nadal

   Pages 147-166

6. Storage of Correlated Patterns in Neural Networks

   • Patricio Perez

   Pages 167-189

7. Back Matter

   Pages 191-192

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This book contains the courses given at the Third School on Statistical Physics and Cooperative Systems held at Santiago, Chile, from 14th to 18th December 1992. The main idea of this periodic school was to bring together scientists work­ with recent trends in Statistical Physics. More precisely ing on subjects related related with non linear phenomena, dynamical systems, ergodic theory, cellular au­ tomata, symbolic dynamics, large deviation theory and neural networks. Scientists working in these subjects come from several areas: mathematics, biology, physics, computer science, electrical engineering and artificial intelligence. Recently, a very important cross-fertilization has taken place with regard to the aforesaid scientific and technological disciplines, so as to give a new approach to the research whose common core remains in statistical physics. Each contribution is devoted to one or more of the previous subjects. In most cases they are structured as surveys, presenting at the same time an original point of view about the topic and showing mostly new results. The expository text of Fran

• automata
• entropy
• network
• neural networks
• statistical physics
• theoretical computer science

• Departamento de Ingenieria Matemática, F.C.F.M., Universidad de Chile, Santiago, Chile

  Eric Goles, Servet Martínez

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