Name
Abstract | ||
|---|---|---|
In multi-agent systems simulations, reproducing realistic behaviors is a crucial issue. Their variety and consistency are important factors, usually not specifically considered. In this paper, we propose a behavioral differentiation model designed (1) to generate various and consistent behaviors, and (2) to control the determinism of this generation. Based on a normative system and a nondeterministic generation engine, it allows users adapting it easily to their various needs. Finally, we show its application to the traffic simulation software developed and used at Renault, SCANeR(c) II. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WIIAT.2008.287 | IAT |
Keywords | Field | DocType |
important factor,crucial issue,behavioral differentiation model,behavioral differentiation,various need,nondeterministic generation engine,multi-agent systems simulation,traffic simulation software,realistic behavior,consistent behavior,normative model,normative system,norm,multi agent systems,behavior,multi agent system,software engineering,generation,variety,software development,computational modeling,agent,data models,data structures,engines | Data mining,Data modeling,Nondeterministic algorithm,Computer science,Normative,Determinism,Traffic simulation,Normative model of decision-making,Multi-agent system,Real-time computing,Software,Artificial intelligence | Conference |
Citations | PageRank | References |
3 | 0.46 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benoit Lacroix | 1 | 24 | 3.24 |
| Philippe Mathieu | 2 | 32 | 12.72 |
| Andras Kemeny | 3 | 83 | 14.80 |