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primary topic: Synthesizing cellular intelligence and artificial intelligence for bioprocesses.

Synthesizing cellular intelligence and artificial intelligence for bioprocesses.
type: AcademicArticle
type: Article
abstract: Microbial processes operated under realistic conditions are difficult to describe by mechanistic models, thereby limiting their optimization and control. Responses of living cells to their environment suggest that they possess some "innate intelligence". Such responses have been modeled by a cybernetic approach. Furthermore, the overall behavior of a bioreactor containing a population of cells may be described and controlled through artificial intelligence methods. Therefore, it seems logical to combine cybernetic models with artificial intelligence to evolve an integrated intelligence-based strategy that is physiologically more faithful than the current approaches. This possibility is discussed, together with practical considerations favoring a hybrid approach that includes some mathematical modeling.
date: 2006
volume: 24
issue: 2
is part of: Biotechnology advances
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
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subject: QR Microbiology

Synthesizing cellular intelligence and artificial intelligence for bioprocesses. (PDF)
type: Document

Elsevier Science
type: Organization

Biotechnology advances
type: Collection
issn: 07349750

P R Patnaik
type: Person
given name: P R
family name: Patnaik

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primary topic: Synthesizing cellular intelligence and artificial intelligence for bioprocesses.

QR Microbiology
type: Concept