Title :
Reflections on the Simulation of Complex Systems for Science
Author :
Polack, Fiona A C ; Andrews, Paul S. ; Ghetiu, Teodor ; Read, Mark ; Stepney, Susan ; Timmis, Jon ; Sampson, Adam T.
Author_Institution :
Dept. of Comput. Sci., Univ. of York, York, UK
Abstract :
In studying complex systems, agent-based simulations offer the possibility of directly modelling components in an environment. However, the scientific value of agent-based simulations has been limited by inadequate scientific rigour. The paper focuses on agent-based simulations that are used in biological and bio-medical research. Starting from a review of best practice in simulation engineering, the paper identifies some of the key activities in developing complex systems simulations that support scientific research, and how these contribute to the essential development of mutual trust among developers and scientists. Examples from the authors´ own experience illustrate how a range of studies have manifested these key activities, and identifies some successes and problems encountered.
Keywords :
biology computing; digital simulation; large-scale systems; medical computing; multi-agent systems; agent based simulation; biological research; biomedical research; complex systems; mutual trust; science; Adaptation model; Biological system modeling; Collaboration; Computational modeling; Mathematical model; Unified modeling language; Complex system modelling; scientific simulation; simulation validation;
Conference_Titel :
Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on
Conference_Location :
Oxford
Print_ISBN :
978-1-4244-6638-2
Electronic_ISBN :
978-1-4244-6639-9
DOI :
10.1109/ICECCS.2010.48
