Uncertainty in Artificial Intelligence
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Ergo: A Graphical Environment for Constructing Bayesian
Ingo Beinlich, Edward Herskovits
Abstract:
We describe an environment that considerably simplifies the process of generating Bayesian belief networks. The system has been implemented on readily available, inexpensive hardware, and provides clarity and high performance. We present an introduction to Bayesian belief networks, discuss algorithms for inference with these networks, and delineate the classes of problems that can be solved with this paradigm. We then describe the hardware and software that constitute the system, and illustrate Ergo's use with several example
Keywords:
Pages: 114-121
PS Link:
PDF Link: /papers/90/p114-beinlich.pdf
BibTex:
@INPROCEEDINGS{Beinlich90,
AUTHOR = "Ingo Beinlich and Edward Herskovits",
TITLE = "Ergo: A Graphical Environment for Constructing Bayesian",
BOOKTITLE = "Proceedings of the Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1990",
PAGES = "114--121"
}


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