Index Catalog // ScholarsArchive@OSU

Creator:: Ullman, David G., Stauffer, Larry A., and Dietterich, Thomas G.
Abstract:: This paper presents the initial results from an empirical study of mechanical design engineers. In this study, six engineers were video-taped solving real mechanical design problems. Preliminary analysis of this protocol data has yielded several important findings, including (a) mechanical designers progress from systematic to opportunistic behavior as the design...
Resource Type:: Technical Report

Creator:: Flann, Nicholas S. and Dietterich, Thomas G.
Abstract:: This technical report reprints two articles that appeared in Proceedings of the Third International Machine Learning Workshop at Skytop, Pennsylvania, June 24-26, 1985. The first paper, The EG Project: Recent Progress, summarizes work on the EG project, which is investigating the role of active experimentation in aiding machine learning programs....
Resource Type:: Technical Report

Creator:: Lewis, Ted G., Malik, K., and Dietterich, Thomas G.
Abstract:: Microprogramming has evolved since its introduction in 1951 by Maurice Wilkes. The most significant change that has taken place is the recent growth of interest in user microprogramming. However, user microprogramming is a difficult task because of various complex and intricate features of the host processors. A microprogrammer must be...
Resource Type:: Technical Report

Creator:: Dietterich, Thomas G. and Ullman, David G.
Abstract:: It is difficult to build intelligent computer-aided design (ICAD) programs using available expert system shells and AI programming languages. To build ICAD programs, tools are needed that support (a) generative search of design spaces, (b) deep search of design spaces to evaluate alternative designs, (c) simultaneous exploration of alternative designs...
Resource Type:: Technical Report

Creator:: Dietterich, Thomas G.
Abstract:: When Newell introduced the concept of the knowledge level as a useful level of description for computer systems, he focused on the representation of knowledge. This paper applies the knowledge level notion to the problem of knowledge acquisition. Two interesting issues arise. First, some existing machine learning programs appear to...
Resource Type:: Technical Report

Creator:: Dietterich, Thomas G.
Abstract:: This chapter develops a taxonomy of learning methods using techniques based on Newell’s knowledge level. Two properties of each system are defined: knowledge level predictability and knowledge level learning. A system is predictable at the knowledge level if the principle of rationality can be applied to predict its behavior. A...
Resource Type:: Technical Report

Creator:: Dietterich, Thomas G., Flann, Nicholas S., and Wilkins, David C.
Abstract:: This report reviews the 31 papers on machine learning that were presented at the Ninth International Joint Conference on Artificial Intelligence (IJCAI-85) held in Los Angeles during August, 1985. The papers are grouped according to a taxonomy of the various subareas of machine learning research. The areas receiving the most...
Resource Type:: Technical Report

Creator:: Dietterich, Thomas G. and D'Ambrosio, Bruce
Abstract:: This report describes of current research in Artificial Intelligence at Oregon State University. The five areas of active research are ( a) intelligent aids for mechanical engineering design, (b) active experimentation as a method in machine learning, ( c) techniques for combining logic programming and assumption-based truth maintenance, ( d)...
Resource Type:: Technical Report

Creator:: Bennett, James S. and Dietterich, Thomas G.
Abstract:: Test incorporations are program transformations that improve the performance of generate-and-test procedures by moving information out of the "test" and into the "generator." The test information is said to be "incorporated" into the generator so that items produced by the generator are guaranteed to satisfy the incorporated test. This article...
Resource Type:: Technical Report

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