creators_name: Patnaik, P R
type: article
datestamp: 2012-01-09 04:25:51
lastmod: 2012-01-10 04:57:56
metadata_visibility: show
title: Synthesizing cellular intelligence and artificial intelligence for bioprocesses.
ispublished: pub
subjects: QR
full_text_status: restricted
keywords: Cellular intelligence; Artificial intelligence; Cybernetic model; Hybrid model
note: Copyright of this article belongs to Elsevier Science.
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
publication: Biotechnology advances
volume: 24
number: 2
publisher: Elsevier Science
pagerange: 129-33
refereed: TRUE
issn: 0734-9750
official_url: http://www.sciencedirect.com/science/article/pii/S0734975005001011
related_url_url: http://www.sciencedirect.com/science/article/pii/S0734975005001011
related_url_type: pub
citation:   Patnaik, P R  (2006) Synthesizing cellular intelligence and artificial intelligence for bioprocesses.  Biotechnology advances, 24 (2).  pp. 129-33.  ISSN 0734-9750     
document_url: http://crdd.osdd.net/open/166/1/patnaik2006.pdf