WorldCat Identities

Buchanan, Bruce G.

Overview
Works: 95 works in 266 publications in 1 language and 1,765 library holdings
Genres: Bibliography  Educational films  Filmed lectures  Nonfiction films 
Roles: Author, Editor, Other
Classifications: QA76.9.E96, 001.535
Publication Timeline
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Most widely held works about Bruce G Buchanan
 
Most widely held works by Bruce G Buchanan
Rule-based expert systems : the MYCIN experiments of the Stanford Heuristic Programming Project by Bruce G Buchanan( Book )

25 editions published between 1984 and 1985 in English and Undetermined and held by 714 WorldCat member libraries worldwide

Understanding artificial intelligence by Henry C Mishkoff( Book )

8 editions published between 1985 and 1988 in English and held by 374 WorldCat member libraries worldwide

Readings in knowledge acquisition and learning : automating the construction and improvement of expert systems by Bruce G Buchanan( Book )

9 editions published between 1992 and 2000 in English and held by 183 WorldCat member libraries worldwide

Research on knowledge representation, machine learning, and knowledge acquisition : final report covering the period 10/1/83-1/31/87, NASA grant number NCC 2-274 by Bruce G Buchanan( Book )

1 edition published in 1987 in English and held by 70 WorldCat member libraries worldwide

Expert systems : working systems and the research literature by Bruce G Buchanan( Book )

12 editions published between 1984 and 1986 in English and Undetermined and held by 24 WorldCat member libraries worldwide

Knowledge-based systems and their applications : artificial intelligence satellite symposium notebook( Book )

1 edition published in 1985 in English and held by 20 WorldCat member libraries worldwide

Knowledge base refinement by monitoring abstract control knowledge by David C Wilkins( Book )

5 editions published in 1987 in English and held by 18 WorldCat member libraries worldwide

Arguing that an explicit representation of the problem-solving method of an expert system shell as abstract control knowledge provides a powerful foundation for learning, this paper describes the abstract control knowledge of the Heracles expert system shell for heuristic classification problems, and describes how the Odysseus apprenticeship learning program uses this representation to automate "end-game" knowledge acquisition. Particular emphasis is given to showing how abstract control knowledge facilitates the use of underlying domain theories by a learning program. Three figures and one table are provided. (16 references) (Author/EW)
Artificial intelligence technical reports : Knowledge Systems Laboratory, Stanford University, 1977-1985( Book )

2 editions published in 1985 in English and held by 16 WorldCat member libraries worldwide

A general reading list for artificial intelligence by Devika Subramanian( Book )

7 editions published between 1985 and 1986 in English and held by 15 WorldCat member libraries worldwide

Using and evaluating differential modeling in intelligent tutoring and apprentice learning systems by David C Wilkins( Book )

8 editions published in 1987 in English and held by 15 WorldCat member libraries worldwide

A powerful approach to debugging and refining the knowledge structures of a problem solving agent is to differentially model the actions of the agent against a gold standard. This paper proposes a framework for exploring the inherent limitations of such an approach when a problem solver is differentially modeled against an expert system. A procedure is described for determining a performance upper bound for debugging via differential modeling, called the synthetic agent method. The synthetic agent method systematically explores the space of near miss training instances and expresses the limits of debugging in terms of the knowledge representation and control language constructs of the expert system. Keywords: Learning, Knowledge acquisition, Tutoring, Debugging, Differential modeling
On debugging rule sets when reasoning under uncertainty by David C Wilkins( Book )

5 editions published in 1987 in English and Undetermined and held by 14 WorldCat member libraries worldwide

Catalogue, Artificial intelligence memoranda of the AI Laboraory, Computer Science Department, Stanford University, 1963-1982( Book )

1 edition published in 1983 in English and held by 13 WorldCat member libraries worldwide

Some approaches to knowledge acquisition by Bruce G Buchanan( Book )

7 editions published in 1985 in English and Undetermined and held by 13 WorldCat member libraries worldwide

AI as an experimental science by Bruce G Buchanan( Visual )

4 editions published between 1987 and 1988 in English and Undetermined and held by 11 WorldCat member libraries worldwide

Buchanan maintains that AI suffers from a lack of experimentation-and maintains that careful work in testing hypotheses experimentally can greatly enhance model building and theoretical analysis in AI. Buchanan's "empirical approach" seeks to gain more useful results out of the complexity of problems addressed by AI research
Principles of rule-based expert systems by Bruce G Buchanan( Book )

6 editions published in 1982 in English and Undetermined and held by 11 WorldCat member libraries worldwide

Inductive knowledge acquisition for rule-based expert systems by LiMin Fu( Book )

3 editions published in 1985 in English and held by 11 WorldCat member libraries worldwide

Partial bibliography of work on expert systems by Bruce G Buchanan( Book )

6 editions published in 1982 in English and Undetermined and held by 10 WorldCat member libraries worldwide

Research on expert systems by Bruce G Buchanan( Book )

5 editions published in 1981 in English and held by 10 WorldCat member libraries worldwide

All A1 programs are essentially reasoning programs. And, to the extent that they reason well about a problem area, all exhibit some expertise at problem solving. Programs that solve the Tower of Hanoi puzzle, for example, reason about the goal state and the initial state in order to find 'expert-level' solutions. Unlike other programs, however, the claims about expert systems are related to questions of usefulness and understandability as well as performance. We can distinguish expert systems from other A1 programs in the following respects: (1) Utility, (2) Performance, and (3) Transparency. Designers of expert systems are motivated to build useful tools in addition to constructing programs that serve as vehicles for A1 research. This is reflected in the tasks chosen. Solving the Tower of Hanoi puzzle, per se, is not a critical bottleneck in any scientific or engineering enterprise. But integrating mathematical expressions and determining molecular structures are important problems for scientists. Utility is the least important of the three criteria and is perhaps less definitional than a personal bias about whether expertise on trivial matters constitutes expertise at all. In some cases a task is chosen just because of its inherent importance. More often than not, a problem's significance for A1 research is also a factor now because expert systems are still constructed by researchers
Knowledge engineering for medical decision marking : a review of computer-based clinical decision aids by Edward Hance Shortliffe( Book )

6 editions published in 1979 in English and Undetermined and held by 10 WorldCat member libraries worldwide

Computer-based models of medical decision making account for a large proportion of clinical computing efforts. This article reviews representative examples from each of several major medical computing paradigms. These include (1) clinical algorithms, (2) clinical databanks that include analytic functions, (3) mathematical models of physical processes, (4) pattern recognition, (5) Bayesian statistics, (6) decision analysis, and (7) symbolic reasoning or artificial intelligence. Because the techniques used in the various systems cannot be examined exhaustively, the case studies in each category are used as a basis for studying general strengths and limitations. It is noted that no one method is best for all applications. However, emphasis is given to the limitations of early work that have made artificial intelligence techniques and knowledge engineering research particularly attractive. We stress that considerable basic research in medical computing remains to be done and that powerful new approaches may lie in the melding of two or more established techniques. (Author)
A heuristic programming study of theory formation in science by Bruce G Buchanan( Book )

4 editions published in 1971 in English and held by 8 WorldCat member libraries worldwide

The Meta-DENDRAL program is a vehicle for studying problems of theory formation in science. The general strategy of Meta-DENDRAL is to reason from data to plausible generalizations and then to organize the generalizations into a unified theory. Three main subproblems are discussed: Explain the experimental data for each individual chemical structure; Generalize the results from each structure to all structures; Organize the generalizations into a unified theory. The program is built upon the concepts and programmed routines already available in the Heuristic DENDRAL performance program, but goes beyond the performance program in attempting to formulate the theory which the performance program will use. (Author)
 
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Readings in knowledge acquisition and learning : automating the construction and improvement of expert systems
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English (122)

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