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Artificial development — Wikipedia (en)
- Source
- Wikipedia (en)
- Original
- https://en.wikipedia.org/wiki/Artificial_development
- License (as archived)
- CC-BY-SA-4.0
- Archived
- 2026-10-15T18:24:52.011Z
- SHA-256 of the archived text
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Artificial development — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Artificial_development (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_4eae177ccf03 (Metraipolis archive dc_4eae177ccf03, sha256 31563e4a16029382ab9f989bbd62f48573ed4ed580959e3c1f926b1614973698)
BibTeX
@misc{dc4eae177ccf03,
title = {Artificial development — Wikipedia (en)},
howpublished = {Wikipedia (en)},
url = {https://en.wikipedia.org/wiki/Artificial_development},
note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_4eae177ccf03; sha256 31563e4a16029382ab9f989bbd62f48573ed4ed580959e3c1f926b1614973698},
year = {2026}
}Archived text
Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Artificial_development. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Artificial development, also known as artificial embryogeny or machine intelligence or computational development, is an area of computer science and engineering concerned with computational models motivated by genotype–phenotype mappings in biological systems. Artificial development is often considered a sub-field of evolutionary computation, although the principles of artificial development have also been used within stand-alone computational models. Within evolutionary computation, the need for artificial development techniques was motivated by the perceived lack of scalability and evolvability of direct solution encodings (Tufte, 2008). Artificial development entails indirect solution encoding. Rather than describing a solution directly, an indirect encoding describes (either explicitly or implicitly) the process by which a solution is constructed. Often, but not always, these indirect encodings are based upon biological principles of development such as morphogen gradients, cell division and cellular differentiation (e.g. Doursat 2008), gene regulatory networks (e.g. Guo et al., 2009), degeneracy (Whitacre et al., 2010), grammatical evolution (de Salabert et al., 2006), or analogous computational processes such as re-writing, iteration, and time. The influences of interaction with the environment, spatiality and physical constraints on differentiated multi-cellular development have been investigated more recently (e.g. Knabe et al. 2008). Artificial development approaches have been applied to a number of computational and design problems, including electronic circuit design (Miller and Banzhaf 2003), robotic controllers (e.g. Taylor 2004), and the design of physical structures (e.g. Hornby 2004). Tema degli esploratori: agenti e intelligenza artificiale (deposito sistematico; ricerca «multi-agent system»). Fonte: Wikipedia in inglese, voce «Artificial development» — https://en.wikipedia.org/wiki/Artificial_development Wikidata Q4801064 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q4801064 Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Artificial_development?action=history). Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza. Estratto dell'introduzione non modificato nel contenuto; revisione 1360585143, consultata il 2026-10-15T17:54:44.677Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 1b7c427d2c4b7855e2cae7af899d87e96bea57c548c3b6810154caefd664f2b0