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Electrical Design: A Problem for Artificial Intelligence Research

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dc.contributor.author Sussman, Gerald Jay en_US
dc.date.accessioned 2004-11-19T17:17:48Z
dc.date.available 2004-11-19T17:17:48Z
dc.date.issued 1977-06-01 en_US
dc.identifier.other AIM-425 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/7339
dc.description.abstract This report outlines the problem of intelligent failure recovery in a problem-solver for electrical design. We want our problem solver to learn as much as it can from its mistakes. Thus we cast the engineering design process on terms of Problem Solving by Debugging Almost-Right Plans, a paradigm for automatic problem solving based on the belief that creation and removal of "bugs" is an unavoidable part of the process of solving a complex problem. The process of localization and removal of bugs called for by the PSBDARP theory requires an approach to engineering analysis in which every result has a justification which describes the exact set of assumptions it depends upon. We have developed a program based on Analysis by Propagation of Constraints which can explain the basis of its deductions. In addition to being useful to a PSBDARP designer, these justifications are used in Dependency-Directed Backtracking to limit the combinatorial search in the analysis routines. Although the research we will describe is explicitly about electrical circuits, we believe that similar principles and methods are employed by other kinds of engineers, including computer programmers. en_US
dc.format.extent 6833116 bytes
dc.format.extent 4874972 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AIM-425 en_US
dc.title Electrical Design: A Problem for Artificial Intelligence Research en_US


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