2006
DOI: 10.1007/s11047-005-5498-x
|View full text |Cite
|
Sign up to set email alerts
|

Simulated Bacterially-Inspired Problem Solving – The Behavioural Domain

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2006
2006
2015
2015

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 25 publications
0
5
0
Order By: Relevance
“…Devine et al, 1996;Ginovart et al, 2002;Gregory et al, 2004a), and as essential inputs to the simulation of bacterial population biology and ecology (Kreft et al, 1998(Kreft et al, , 2001Ginovart et al, 2005;Prats et al 2006). COSMIC-Rules is based on the COSMIC (Gregory et al 2004a(Gregory et al , 2004b(Gregory et al , 2005Paton et al 2005) and RUBAM models, which were designed to create detailed simulations that were biologically accurate and computable within practical time frames (Gregory et al, 2006). However, where COSMIC had relatively simplistic yet explicit implementations of gene expression and evolution, COSMIC-Rules is rule-based with implicit implementations of gene expression that allow the compression of genetic information and facilitate more rapid computation.…”
Section: Introductionmentioning
confidence: 99%
“…Devine et al, 1996;Ginovart et al, 2002;Gregory et al, 2004a), and as essential inputs to the simulation of bacterial population biology and ecology (Kreft et al, 1998(Kreft et al, , 2001Ginovart et al, 2005;Prats et al 2006). COSMIC-Rules is based on the COSMIC (Gregory et al 2004a(Gregory et al , 2004b(Gregory et al , 2005Paton et al 2005) and RUBAM models, which were designed to create detailed simulations that were biologically accurate and computable within practical time frames (Gregory et al, 2006). However, where COSMIC had relatively simplistic yet explicit implementations of gene expression and evolution, COSMIC-Rules is rule-based with implicit implementations of gene expression that allow the compression of genetic information and facilitate more rapid computation.…”
Section: Introductionmentioning
confidence: 99%
“…Bacteria are amongst the oldest and most populous forms of life on earth (a human typically has about 10 14 bacteria in the gastrointestinal tract [499]). Despite possessing a relatively simple physical structure in comparison with mammals or insects, bacteria are capable of sophisticated interactions with their environment and with each other.…”
Section: Bacterial Foraging Algorithmsmentioning
confidence: 99%
“…Paton et al [38] described a bacterially-inspired computational architecture for simulating aspects of problem solving. Kim et al [39] proposed a hybrid approach involving GA and BFA for function optimization problems and test their performance on four test functions.…”
Section: Bacterial Foraging Algorithmmentioning
confidence: 99%