Polack, Fiona A. C. and Andrews, Paul S. and Ghetiu, Teodor and Read, Mark and Stepney, Susan and Timmis, Jon and Sampson, Adam T. (2010) Reflections on the Simulation of Complex Systems for Science. In: ICECCS 2010: Fifteenth IEEE International Conference on Engineering of Complex Computer Systems.
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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.
|Item Type:||Conference or workshop item (UNSPECIFIED)|
|Uncontrolled keywords:||determinacy analysis, Craig interpolants|
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Computing > Programming Languages and Systems Group|
|Depositing User:||Adam Sampson|
|Date Deposited:||21 Sep 2012 09:49|
|Last Modified:||21 Sep 2012 09:49|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/30684 (The current URI for this page, for reference purposes)|
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