Abstract
A group of intelligent agents may work together in order to solve a problem or achieve a common goal. The group may fail to achieve a goal due to the actions of one or more agents. The agents should be able to adapt their behaviour to ensure that such a failure is not repeated. One way in which they can do this is by using machine learning techniques to refine their knowledge. Our research is concerned with how they can do this effectively.
Original language | English |
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Number of pages | 3 |
Publication status | Published - 1995 |
Event | Workshop on Agents that Learn from Other Agents held as part of the 1995 International Machine Learning Conference - California, Tahoe City, United States Duration: 9 Jul 1995 → 12 Jul 1995 |
Workshop
Workshop | Workshop on Agents that Learn from Other Agents held as part of the 1995 International Machine Learning Conference |
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Country/Territory | United States |
City | Tahoe City |
Period | 9/07/95 → 12/07/95 |
Keywords
- knowledge refinement
- agents
- machine learning
- collaboration