Name
Abstract | ||
|---|---|---|
Being able to ensure that a multiagent system will not generate undesirable behaviors is essential within the context of critical applications (embedded systems or real-time systems). The emergence of behaviors from the agents interaction can generate situations incompatible with the expected system execution. The standard methods to validate a multiagent system do not prevent the occurrence of undesirable behaviors during its execution in real condition. We propose a complementary approach of dynamic self-monitoring and self-regulation allowing the agents to control their own behavior. This paper goes on to present the automatic generation of self-controlled agents. We use the observer approach to verify that the agents behavior respects a set of laws throughout the system execution. |
Year | Venue | Keywords |
|---|---|---|
2006 | ECAI | agents interaction,agents behavior,observer approach,complementary approach,harmful behavior,autonomous agent,system execution,undesirable behavior,multiagent system,expected system execution,real-time system,embedded system |
Field | DocType | Volume |
Autonomous agent,Computer science,Real-time computing,Human–computer interaction,Artificial intelligence,Cognition,Observer (quantum physics),Machine learning | Conference | 141 |
ISSN | ISBN | Citations |
0922-6389 | 1-58603-642-4 | 10 |
PageRank | References | Authors |
0.56 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caroline Chopinaud | 1 | 20 | 3.58 |
| Amal El Fallah Seghrouchni | 2 | 184 | 20.37 |
| Patrick Taillibert | 3 | 77 | 15.76 |