Swarmic approach for symmetry detection of cellular automata behaviour

Javaheri Javid, Mohammad Ali, Ursyn, Anna, Zimmer, Robert, al-Rifaie, Mohammad Majid and Alghamdi, Wajdi (2017) Swarmic approach for symmetry detection of cellular automata behaviour. Soft Computing, 21. pp. 5585-5599. ISSN 1432-7643

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Abstract

Since the introduction of cellular automata in the
late 1940s they have been used to address various types of
problems in computer science and other multidisciplinary
fields. Their generative capabilities have been used for simulating and modelling various natural, physical and chemical
phenomena. Besides these applications, the lattice grid of
cellular automata has been providing a by-product interface
to generate graphical contents for digital art creation. One
important aspect of cellular automata is symmetry, detecting of which is often a difficult task and computationally
expensive. In this paper a swarm intelligence algorithm—
Stochastic Diffusion Search—is proposed as a tool to identify
points of symmetry in the cellular automata-generated patterns.

Item Type: Article
Additional Information: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords: Cellular automata, Symmetry, Asthetics, Swarm intelligence
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Departments > Business School
Depositing User: Mohammad JavaheriJavid
Date Deposited: 09 Dec 2020 15:12
Last Modified: 09 Dec 2020 15:12
URI: http://eprints.chi.ac.uk/id/eprint/5548

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