Name
Abstract | ||
|---|---|---|
In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, the agents do not necessarily use similar trust models, leading to semantic differences between trust evaluations in the different agents. We show how to form a trust alignment by considering the interactions agents share. We describe a method, using inductive learning algorithms, to accomplish this alignment. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.5555/1838206.1838486 | AAMAS |
Keywords | Field | DocType |
similar trust model,interactions agents share,different agent,effective interaction,shared interaction,trust alignment,open multi-agent systems trust,important tool,trust evaluation,induction generator | Computer science,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
8 | 0.51 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew Koster | 1 | 47 | 8.27 |
| Jordi Sabater-Mir | 2 | 573 | 41.11 |
| W. Marco Schorlemmer | 3 | 1113 | 85.18 |