Robustness in nature as a design principle for artificial intelligence

Alfons Josef Schuster

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

Robustness is a feature in many systems, natural and artificial alike. This chapter investigates robustness from a variety of perspectives including its appearances in nature and its application in modern environments. A particular focus investigates the relevance and importance of robustness in a discipline where many techniques are inspired by problem-solving strategies found in nature-artificial intelligence. The challenging field of artificial intelligence provides an opportunity to engage in a wider discussion on the subject of robustness.

Original languageEnglish
Title of host publicationRobust Intelligent Systems
PublisherSpringer London
Pages165-187
Number of pages23
ISBN (Print)9781848002609
DOIs
Publication statusPublished - 2008
Externally publishedYes

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Artificial intelligence

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Schuster, A. J. (2008). Robustness in nature as a design principle for artificial intelligence. In Robust Intelligent Systems (pp. 165-187). Springer London. https://doi.org/10.1007/978-1-84800-261-6_8

Robustness in nature as a design principle for artificial intelligence. / Schuster, Alfons Josef.

Robust Intelligent Systems. Springer London, 2008. p. 165-187.

Research output: Chapter in Book/Report/Conference proceedingChapter

Schuster, AJ 2008, Robustness in nature as a design principle for artificial intelligence. in Robust Intelligent Systems. Springer London, pp. 165-187. https://doi.org/10.1007/978-1-84800-261-6_8
Schuster AJ. Robustness in nature as a design principle for artificial intelligence. In Robust Intelligent Systems. Springer London. 2008. p. 165-187 https://doi.org/10.1007/978-1-84800-261-6_8
Schuster, Alfons Josef. / Robustness in nature as a design principle for artificial intelligence. Robust Intelligent Systems. Springer London, 2008. pp. 165-187
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