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Introduction

  • Chapter
Neural and Automata Networks

Part of the book series: Mathematics and Its Applications ((MAIA,volume 58))

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Abstract

Automata Networks where introduced by Ulam, McCulloch and von Neumann to model phenomena studied in physics and biology [MP, U, VN1, VN2]. Automata Networks are discrete dynamical systems, in time and space. Roughly speaking, they are defined by a graph, either finite or infinite, where each site or vertex takes states in a finite set. Moreover, the state of a site changes according to a transition rule which takes into account only the state of its neighbors in the graph.

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  1. Departamento de Ingeniería Matemática, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile

    Eric Goles & Servet Martínez

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  1. Eric Goles
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  2. Servet Martínez
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© 1990 Kluwer Academic Publishers

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Goles, E., Martínez, S. (1990). Introduction. In: Neural and Automata Networks. Mathematics and Its Applications, vol 58. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0529-0_1

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  • DOI: https://doi.org/10.1007/978-94-009-0529-0_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6724-9

  • Online ISBN: 978-94-009-0529-0

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