William A. Andersen

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As knowledge bases used for AI systems increase in size, access to relevant information is the dominant factor in the cost of inference. This is especially true for analogical (or case-based) reasoning, in which the ability of the system to perform inference is dependent on eecient and exible access to a large base of exemplars (cases) judged likely to be(More)
In case-based planning (CBP), previously generated plans are stored as cases in memory and can be reused to solve similar planning problems in the future. CBP can save considerable time over planning from scratch (generative planning), thus ooering a potential (heuris-tic) mechanism for handling intractable problems. One drawback of CBP systems has been the(More)
As well as being useful for semantic integration of information systems, large shared ontologies may be applied as specifications for new systems. In this paper we discuss the design of Knowledge Bus, a system which generates information systems databases and programming interfaces-from application-focused subsets of a large on-tology (Cyc). The generated(More)
PARKA is a frame-based knowledge representation system implemented on the Connection Machine. PARKA provides a representation language consisting of concept descriptions (frames) and binary relations on those descriptions (slots). The system is designed explicitly to provide extremely fast property inheritance inference capabilities. In particular, PARKA(More)
Parka is a symbolic, semantic network knowledge representation system that takes advantage of the massive parallelism of supercomputers such as the Connection Machine. The Parka language has many of the features of traditional semantic net/frame-based knowledge representation languages but also supports several kinds of rapid parallel inference mechanisms(More)
PARKA is a frame-based knowledge representation system implemented on the Connection Machine. PARKA provides a representation language consisting of concept descriptions (frames) and binary relations on those descriptions (slots). The system is designed explicitly to provide extremely fast property inheritance inference capabilities. In particular, PARKA(More)
When given a new planning problem to solve, a case-based planning (CBP) system can make use of plans previously generated to solve similar problems. Generative planning systems, in contrast, must solve new planning problems from scratch. CBP systems can thus produce new plans more efficiently, which is particularly desirable in domains for which plans must(More)
Primary radiotherapy as an alternative management for adenocarcinoma of the endometrium was chosen for 117 patients treated at the University of Michigan Medical Center and University of Virginia Medical Center. Cases were selected for radiation because of contraindications to surgery (52.2%) or by protocol for disease outside the endometrium (47.8%). An(More)
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