Fuzzy Learning in Multi-Agents Based Interactive Systems

@inproceedings{Duce1997FuzzyLI,
  title={Fuzzy Learning in Multi-Agents Based Interactive Systems},
  author={David A. Duce},
  year={1997}
}
as Humanoid [17], UIDE [6], and DIGIS [1] to model intelligent user interfaces. The experiments with the AOM model have highlighted the significant potential of fuzzy logic in adaptive and distributed behaviour definition. The multi-agent model reveals the usefulness of topological elements in interactive applications such as visual programming, multimedia, courseware authoring, and rapid prototyping. 
1 Citations
5 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-5 of 5 references

Neches : Management of Interface Design in Humanoid

  • P. Szekely, R.
  • 1995

Mitchell : An Overview of Machine Learning , in Machine Learning

  • T. M. Mitchell, Tioga Pub. Comp.
  • An Artificial Intelligence Approach
  • 1983

UIDE - An Intelligent User Interface Design Environment

  • W. C. Kim, S. Kovacevic, K. Murray

Similar Papers

Loading similar papers…