Collaborating to Refine Knowledge

Ciara Byrne, Peter Edwards

Research output: Contribution to conferencePaper

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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 languageEnglish
Number of pages3
Publication statusPublished - 1995
EventWorkshop 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 199512 Jul 1995

Workshop

WorkshopWorkshop on Agents that Learn from Other Agents held as part of the 1995 International Machine Learning Conference
CountryUnited States
CityTahoe City
Period9/07/9512/07/95

Keywords

  • knowledge refinement
  • agents
  • machine learning
  • collaboration

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    Byrne, C., & Edwards, P. (1995). Collaborating to Refine Knowledge. Paper presented at Workshop on Agents that Learn from Other Agents held as part of the 1995 International Machine Learning Conference, Tahoe City, United States. ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/ml95w1/byrne.ps.gz