Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICECCS.2010.48 | ICECCS |
Keywords | Field | DocType |
scientific research,bio-medical research,complex system,complex system modelling,agent-based simulation,inadequate scientific rigour,best practice,simulation validation,essential development,scientific value,complex systems,key activity,complex systems simulation,scientific simulation,biomedical research,collaboration,computational modeling,mathematical model,multi agent systems,unified modeling language | Complex system,Verification and validation of computer simulation models,Best practice,Rigour,Unified Modeling Language,Computer science,Multi-agent system,Computer programming,Management science,Scientific method | Conference |
Citations | PageRank | References |
10 | 0.73 | 12 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fiona A. C. Polack | 1 | 632 | 43.56 |
| Paul S. Andrews | 2 | 285 | 23.82 |
| Teodor Ghetiu | 3 | 10 | 1.74 |
| Mark Read | 4 | 36 | 4.14 |
| Susan Stepney | 5 | 813 | 113.21 |
| Jon Timmis | 6 | 1237 | 120.32 |
| Adam T. Sampson | 7 | 150 | 20.37 |