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 rule-based knowledge acquisition and representation technique known as Ripple Down Rules.
Original language | English |
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Title of host publication | Proceedings of the 8th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2009) |
Editors | Keith S. Decker, Jaime Simao Sichman, Carles Sierra, Cristiano Castelfranchi |
Place of Publication | Budapest, Hungary |
Publisher | IFAAMAS |
Pages | 1161-1162 |
Number of pages | 2 |
ISBN (Print) | 9780981738178 |
Publication status | Published - 2009 |
Event | International Conference on Autonomous Agents and Multi-Agent Systems (8th : 2009) - Budapest Duration: 10 May 2009 → 15 May 2009 |
Conference
Conference | International Conference on Autonomous Agents and Multi-Agent Systems (8th : 2009) |
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City | Budapest |
Period | 10/05/09 → 15/05/09 |