SPE
STANFORD HEURISTIC PROGRAMMING PROJECT FEBRUARY 1979 MEMO HPP-79--)
AGE is a system designed to aid knowledge engineers build knowledge-based programs. We have built a laboratory of building blocks which the user can assemble in various ways to fit a particular problem. This paper describes the facilities available to the user and descibes an example program built with AGE.
Report 78 31 Interactive Programs for Physicians Benefits
It has been noted that the clinical computer programs The more "human-like" the consultation system, the most acceptable to physicians are those which more likely that the busy physician will see it as a perform tasks that the physician himself is either viable alternative to interaction with a human consultant.
Stanford Heuristic Programming Project December 1978 H PP-78-26
A program for selecting antibiotic therapy is described that makes sophisticated recommendations and provides simple, useful explanations of its reasoning for a user. Our method is to structure the therapy optimization problem in terms of local and global solution criteria that are applied in a generate-and-test algorithm. Generation of therapy recommendations is directed by a fixed, ordered set of canonical instructions that describe the global characteristics of a recommendation. Other factors are dealt with in a "planning" phase particular to each organism for which therapy is to be prescribed, and the test phase that incorporates patient considerations such as allergies and age. We demonstrate the advantages of this canonical form for explanation, comparison of alternative recommendations, and a simple instructive capability.
Report 78-25 Tutoring Rules for Guiding a Case Method
These knowledge bases are generally built by interviewing human experts to extract the knowledge they use to solve problems in their area of expertise. However, it is not clear that the organization and level of abstraction of this performance knowledge is suitable for use in a tutorial program. We are exploring this problem in the GUIDON tutorial program, using the knowledge bases of MYCIN-like expert systems. MYCIN is a knowledge-based program that provides consultations about infectious disease diagnosis and therapy (Shortliffe, 1974). In MN CIN, domain relations and facts take the form of rules about what to do in a given circumstance. A principle feature of this formalism is the separation of the knowledge base from the interpreter for applying it. This makes the knowledge accessible for multiple uses, including application to particular problems (i.e. for "performance") and explanation of reasoning (Davis, 1976). We have most recently used the MYC1N knowledge base as the foundation of a tutorial system, called GUIDON.
w - Stanford Heurist:c Programming Project September 1978 Memo HPP-78-23 Computer Science Department Report No. STAN-CS-78-699
We describe the development and (partial) Implementation of an "automated consultant" to advise non-expert engineers In the use of a general-purpose structural analysis program. The analysis program numerically simulates the behavior of a physical structure subjected to various mechanical loading conditions. The automated consultant, called SACON (Structural Analysis CONsultant), Is based on a version of the MYCIN program [Shortliffe74], originally developed to advise physicians In the diagnosis and treatment of infectious diseases. The domain-specific knowledge in MYCIN Is represented as situation-action rules, and is kept independent of the "inference engine" that uses the rules. By substituting structural engineering knowledge for the medical knowledge, the program was converted easily from the domain of Infectious diseases to the domain of structural analysis.
Report 78 21 Antimicrobial Selection by a Computer A Stanford Blinded Evaluation by Infectious Diseases Experts . Victor L. Lawrence M. 11111
The prescriptions were placed in rat dom Materials and Methods CASE 6.--A 42-year-old woman had a order and in a standardized format to Ten patients with infectious meningitis three-day history of headache, nausea, and disguise the identities of the individual were selected by a physician who was not fever.