Swarm Networks in Brownian Environments

Swarm Networks are a generalization of Cellular Automata, in which the neighborhoods and functionalities of cells are determined by the presence or absence of connections between cells. This paper presents a Swarm Network in which connections can be changed dynamically, and in which the cells (calle...

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Bibliographic Details
Published inNew generation computing Vol. 33; no. 3; pp. 297 - 318
Main Authors Mori, Masashi, Isokawa, Teijiro, Peper, Ferdinand, Matsui, Nobuyuki
Format Journal Article
LanguageEnglish
Published Tokyo Ohmsha 01.07.2015
Subjects
Artificial Intelligence
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Software Engineering/Programming and Operating Systems
Swarm Network
Delay-insensitive Circuit
Brownian Motion
Turing Machine
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ISSN0288-3635
1882-7055
DOI10.1007/s00354-015-0303-6

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Summary:Swarm Networks are a generalization of Cellular Automata, in which the neighborhoods and functionalities of cells are determined by the presence or absence of connections between cells. This paper presents a Swarm Network in which connections can be changed dynamically, and in which the cells (called “agents”) are subject to Brownian motion. According to these characteristics, the model mimics behavior typically encountered in biological organisms. We show that this model is capable of universal computation by constructing a universal Brownian circuit based on it.
ISSN:0288-3635
1882-7055
DOI:10.1007/s00354-015-0303-6