Reflections on the Simulation of Complex Systems for Science

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. (Full text available)

PDF (Full text)
Download (164kB) Preview
Official URL


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 (Paper)
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Programming Languages and Systems Group
Depositing User: Adam Sampson
Date Deposited: 24 Jun 2010 14:05 UTC
Last Modified: 12 Jan 2017 14:51 UTC
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):


Downloads per month over past year