Title :
Developing Artificial Life Simulations of Marine Biology and Exploring Measures of Complexity
Author_Institution :
Dept. of Electron., Birmingham Univ., Birmingham
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;
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
DOI :
10.1109/EMS.2008.30