1.

Record Nr.

UNINA9910437929403321

Autore

Adamatzky Andrew

Titolo

Reaction-diffusion automata : phenomenology, localisations, computation / / Andrew Adamatzky

Pubbl/distr/stampa

New York, : Springer, 2013

ISBN

1-283-63083-4

9786613943286

3-642-31078-8

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (327 p.)

Collana

Emergence, complexity and computation, , 2194-7287 ; ; 1

Disciplina

511.3

Soggetti

Cellular automata

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

pt. 1. Phenomenology and localisations -- pt. 2. Population dynamics -- pt. 3. Computation with excitation.

Sommario/riassunto

Reaction-diffusion and excitable media are amongst most intriguing substrates. Despite apparent simplicity of the physical processes involved the media exhibit a wide range of amazing patterns: from target and spiral waves to travelling localisations and stationary breathing patterns. These media are at the heart of most natural processes, including morphogenesis of living beings, geological formations, nervous and muscular activity, and socio-economic developments.   This book explores a minimalist paradigm of studying reaction-diffusion and excitable media using locally-connected networks of finite-state machines: cellular automata and automata on proximity graphs. Cellular automata are marvellous objects per se because they show us how to generate and manage complexity using very simple rules of dynamical transitions. When combined with the reaction-diffusion paradigm the cellular automata become an essential user-friendly tool for modelling natural systems and designing future and emergent computing architectures.   The book brings together hot topics of non-linear sciences, complexity, and future and emergent computing. It shows how to discover  propagating localisation and perform computation with them in very simple two-dimensional automaton models.  Paradigms, models and implementations



presented in the book strengthen the theoretical foundations in the area for future and emergent computing and  lay key stones towards physical embodied information processing systems.  .