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Foundations of Computational, Intelligence Volume 1 pp 185–215Cite as

Artificial Development

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 201))

Abstract

Artificial Development is a field of Evolutionary Computation inspired by the developmental processes and cellular growth seen in nature. Multiple models of artificial development have been proposed in the past, which can be broadly divided into those based on biochemical processes and those based on a high level grammar. Two of the most important aspects to consider when designing a cellular growth model are the type of representation used to specify the final features of the system, and the abstraction level necessary to capture the properties to be modeled. Although advances in this field have been significant, there is much knowledge to be gained before a model that approaches the level of complexity found in living organisms can be built.

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Authors and Affiliations

  1. University of Guadalajara, Periférico Norte 799, Núcleo Belenes, Zapopan, Jal. Mexico, CP 45000

    Arturo Chavoya

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  1. Arturo Chavoya
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Editors and Affiliations

  1. College of Business Administration, Quantitative and Information System Department, Kuwait University, P.O. Box 5486, 13055, Safat, Kuwait

    Aboul-Ella Hassanien

  2. Center of Excellence for Quantifiable, Quality of Service, Norwegian University of Science & Technology, O.S. Bragstads plass 2E, 7491, Trondheim, Norway

    Ajith Abraham

  3. Department of Computer and Telecommunications Engineering, University ofWestern Macedonia, Agios Dimitrios Park, 50 100, Kozani, Greece

    Athanasios V. Vasilakos

  4. Dept. Electrical and Computer Engineering, University of Alberta, T6J 2V4, Edmonton,Alberta, Canada

    Witold Pedrycz

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Chavoya, A. (2009). Artificial Development. In: Hassanien, AE., Abraham, A., Vasilakos, A.V., Pedrycz, W. (eds) Foundations of Computational, Intelligence Volume 1. Studies in Computational Intelligence, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01082-8_8

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