Over the past five years the Artificial Intelligence Center at SRI has been developing a new technology to address the problem of automated information management within real-world contexts.
Reasoning from uncertain, incomplete, and sometimes inaccurate information is necessary whenever any system is to interact in an intelligent way with its environment.
The goal of this project was to enable knowledge engineers to construct knowledge bases faster. We investigated two techniques: knowledge reuse and axiom templates. The results were demonstrated by developing a question-answering system for the crisis management challenge problem.
Expert systems that operate in complex domains are continually confronted with the problem of deciding what to do next. Being able to reach a decision requires, in part, having the capacity to "reason" about a set of alternative actions.
We address recent criticisms of evidential reasoning, an approach to the analysis of imprecise and uncertain information that is based on the Dempster-Shafer calculus of evidence.
