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Titlebook: Disordered Systems and Biological Organization; Proceedings of the N E. Bienenstock,F. Fogelman Soulié,G. Weisbuch Conference proceedings 1

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書目名稱Disordered Systems and Biological Organization
副標(biāo)題Proceedings of the N
編輯E. Bienenstock,F. Fogelman Soulié,G. Weisbuch
視頻videohttp://file.papertrans.cn/282/281473/281473.mp4
叢書名稱NATO ASI Subseries F:
圖書封面Titlebook: Disordered Systems and Biological Organization; Proceedings of the N E. Bienenstock,F. Fogelman Soulié,G. Weisbuch Conference proceedings 1
描述The NATO workshop on Disordered Systems and Biological Organization was attended, in march 1985, by 65 scientists representing a large variety of fields: Mathematics, Computer Science, Physics and Biology. It was the purpose of this interdisciplinary workshop to shed light on the conceptual connections existing between fields of research apparently as different as: automata theory, combinatorial optimization, spin glasses and modeling of biological systems, all of them concerned with the global organization of complex systems, locally interconnected. Common to many contributions to this volume is the underlying analogy between biological systems and spin glasses: they share the same properties of stability and diversity. This is the case for instance of primary sequences of biopo Iymers I ike proteins and nucleic acids considered as the result of mutation-selection processes [P. W. Anderson, 1983] or of evolving biological species [G. Weisbuch, 1984]. Some of the most striking aspects of our cognitive apparatus, involved In learning and recognttlon [J. Hopfield, 19821, can also be described in terms of stability and diversity in a suitable configuration space. These interpretations
出版日期Conference proceedings 1986
關(guān)鍵詞automata; combinatorial optimization; computer science; learning; mathematics; modeling; mutation; optimiza
版次1
doihttps://doi.org/10.1007/978-3-642-82657-3
isbn_softcover978-3-642-82659-7
isbn_ebook978-3-642-82657-3Series ISSN 0258-1248
issn_series 0258-1248
copyrightSpringer-Verlag Berlin Heidelberg 1986
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Dynamics and Self-Organization in One-Dimensional Arrays neighbours x + i, i = -n,…, n, where n is a positive integer called the scope of the array. Each machine can synchronously change its state at discrete time steps as a function of its state and the states of its neighboring machines.
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Basic Results for the Behaviour of Discrete Iterations presently of interest in various domains of science, such as: . (spin glass problems, see (10), (12), (14), for example), . (diffusion reactions (9)), . (neural networks, genetic nets, (10), (11), (14), (18), (20)), . (pattern recognition, associative memories (7), (10), cellular automata (1), (2),
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On Some Dynamical Properties of Monotone Networksem whose global behaviour is generated by the (simple) local interactions of its elementary cells, hereafter called the sites of the automaton. As pointed out by Wolfram (1984), cellular automata have arisen in several disciplines, because they provide examples in which the generation of complex beh
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Inhomogeneous Cellular Automata (INCA) each site. With an evolution law in discrete time, a cellular automaton is a fully discrete dynamical system. The law is local: the value assumed by any one site at time . + 1 is determined by the values taken at time . by the neighboring sites. (For reviews, see Vichniac, this volume, and referenc
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Dynamical Properties of An Automaton with Memory(1967) generalized the above model in order to introduce the refractory character of the neural response. They proposed to use a memory associated to the system and obtained the following discrete iteration scheme, in order to simulate the response of a single neuron: k-1 . where x. belongs to (0,1)
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