Name
Abstract | ||
|---|---|---|
This paper presents two case studies on the use of agent-based modeling in the design of complex systems. In the first case study, elements of a self-organizing system are modeled as agents so that their interactions and system-level behavior can be analyzed and optimized to design a protective convoy. The use of agent-based modeling enables a fast simulation-optimization loop for the optimization of behavioral parameters. In the second case study, users of the system are modeled as agents, so the co-evolution of user and system behavior can be modeled in the selection of a seating layout. This modeling provides insight into the social desires of consumers, in addition to the structural properties of the seating layout, allowing a deeper understanding of customer satisfaction and system performance. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.procs.2014.03.097 | Procedia Computer Science |
Keywords | Field | DocType |
agent-based modeling,complex systems,self-organizing systems,optimization | Complex system,Customer satisfaction,Computer science,Self-organization,Human–computer interaction,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
28 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James Humann | 1 | 2 | 0.72 |
| Azad M. Madni | 2 | 188 | 34.57 |