DocumentCode
2838590
Title
Developing Artificial Life Simulations of Marine Biology and Exploring Measures of Complexity
Author
White, David
Author_Institution
Dept. of Electron., Birmingham Univ., Birmingham
fYear
2008
fDate
8-10 Sept. 2008
Firstpage
232
Lastpage
235
Abstract
Environmental and species data from the Scylla reef have been used to undertake research into the relationship that different measures of complexity have on simulations of Marine Biology. Experiments on behavioural, data and scale complexity have examined how these measures affect the results of simulations, especially with regard to accuracy and robustness under changing environmental conditions.
Keywords
aquaculture; artificial intelligence; biology computing; Scylla reef; artificial life simulations; environmental conditions; environmental data; marine biology; species data; Biological system modeling; Biology computing; Computational biology; Computational modeling; Computer simulation; Ecosystems; Electric variables measurement; Engines; Particle measurements; Robustness; Artificial Life; Complexity; Marine Biology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation, 2008. EMS '08. Second UKSIM European Symposium on
Conference_Location
Liverpool
Print_ISBN
978-0-7695-3325-4
Electronic_ISBN
978-0-7695-3325-4
Type
conf
DOI
10.1109/EMS.2008.30
Filename
4625277
Link To Document