Name
Abstract | ||
|---|---|---|
Virtual agents are used by the military for extensive training of pilots. However, creating virtual agents with the appropriate behaviors is a lengthy and specialized process. We describe a new tool (TAF) to allow rapid creation of virtual adversarial agents by non-specialized personnel. In TAF, users can draw diagrams of agent behavior which are matched within a pre-existing knowledge base. By combining several instances of similar behaviors a behavior model for a new agent is created that matches the diagram provided by the user. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.5555/2615731.2616132 | AAMAS |
Keywords | Field | DocType |
extensive training,similar behavior,non-specialized personnel,trainable automated force,semi-automated construction,virtual adversarial agent,new agent,behavior model,new tool,virtual agent,appropriate behavior,agent behavior | Constructive,Computer science,Human–computer interaction,Agent behavior,Artificial intelligence,Knowledge base,Machine learning,Adversarial system | Conference |
Citations | PageRank | References |
1 | 0.43 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert G. Abbott | 1 | 31 | 6.28 |
| Kiran Lakkaraju | 2 | 445 | 36.90 |
| Christina E. Warrender | 3 | 476 | 42.36 |