Abstract
Practical intelligence is gained by doing. In this project we offer a technique which allows software agents and humans to learn by doing. The human trainer, that is the domain expert, directly interacts with the system to create new scenarios and learning experiences for the trainee. As they interact with the system, the system acquires knowledge from the trainer which can be transferred to the trainee. For this purpose, we employ a hybrid case and rale-based knowledge acquisition and representation technique known as Ripple Down Rules.
| Original language | English |
|---|---|
| Title of host publication | 8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009 |
| Place of Publication | Richland, SC |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 1258-1259 |
| Number of pages | 2 |
| Volume | 2 |
| ISBN (Print) | 9781615673346 |
| Publication status | Published - 2009 |
| Event | 8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009 - Budapest, Hungary Duration: 10 May 2009 → 15 May 2009 |
Other
| Other | 8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009 |
|---|---|
| Country/Territory | Hungary |
| City | Budapest |
| Period | 10/05/09 → 15/05/09 |
Keywords
- (Virtual) agents
- Artificial intelligence
- Believable agents
- Border security
- Experimental
- Intelligent user interfaces
- Knowledge based systems
- Ripple down rules
- Training simulation
- Virtual reality