Mathematics and Its Applications P adic Deterministic Random Dynamics
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Presents an overview of the theory of p-adic (and more general non-Archimedean) dynamical systems. This book focuses on discrete dynamical systems. It presents a model of probabilistic thinking on p-adic mental space based on ultrametric diffusion. It details p-adic neural networks and their applications to cognitive sciences. This book provides an overview of the theory of p-adic (and more general non-Archimedean) dynamical systems. The main part of the book is devoted to discrete dynamical systems. It presents a model of probabilistic thinking on p-adic mental space based on ultrametric diffusion. Coverage also details p-adic neural networks and their applications to cognitive sciences: learning algorithms, memory recalling.
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Presents an overview of the theory of p-adic (and more general non-Archimedean) dynamical systems. This book focuses on discrete dynamical systems. It presents a model of probabilistic thinking on p-adic mental space based on ultrametric diffusion. It details p-adic neural networks and their applications to cognitive sciences. This book provides an overview of the theory of p-adic (and more general non-Archimedean) dynamical systems. The main part of the book is devoted to discrete dynamical systems. It presents a model of probabilistic thinking on p-adic mental space based on ultrametric diffusion. Coverage also details p-adic neural networks and their applications to cognitive sciences: learning algorithms, memory recalling.
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