Uncertainty in Artificial Intelligence
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R&D Analyst: An Interactive Approach to Normative Decision System Model Construction
Peter Regan, Samuel Holtzman
Abstract:
This paper describes the architecture of R&D Analyst, a commercial intelligent decision system for evaluating corporate research and development projects and portfolios. In analyzing projects, R&D Analyst interactively guides a user in constructing an influence diagram model for an individual research project. The system's interactive approach can be clearly explained from a blackboard system perspective. The opportunistic reasoning emphasis of blackboard systems satisfies the flexibility requirements of model construction, thereby suggesting that a similar architecture would be valuable for developing normative decision systems in other domains. Current research is aimed at extending the system architecture to explicitly consider of sequential decisions involving limited temporal, financial, and physical resources.
Keywords:
Pages: 259-267
PS Link:
PDF Link: /papers/92/p259-regan.pdf
BibTex:
@INPROCEEDINGS{Regan92,
AUTHOR = "Peter Regan and Samuel Holtzman",
TITLE = "R&D Analyst: An Interactive Approach to Normative Decision System Model Construction",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "259--267"
}


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