By William Eric Leifur Grimson, Ramesh S. Patil
This choice of essays via 12 contributors of the MIT employees, presents an within record at the scope and expectancies of present learn in a single of the world's significant AI facilities. The chapters on synthetic intelligence, specialist structures, imaginative and prescient, robotics, and traditional language supply either a extensive review of present parts of job and an overview of the sphere at a time of significant public curiosity and fast technological development. Contents: man made Intelligence (Patrick H. Winston and Karen Prendergast). KnowledgeBased platforms (Randall Davis). Expert-System instruments and methods (Peter Szolovits). clinical analysis: Evolution of structures construction services (Ramesh S. Patil). synthetic Intelligence and software program Engineering (Charles wealthy and Richard C. Waters). clever traditional Language Processing (Robert C. Berwick). automated Speech reputation and figuring out (Victor W. Zue). robotic Programming and synthetic Intelligence (Tomas Lozano-Perez). robotic fingers and Tactile Sensing (John M. Hollerbach). clever imaginative and prescient (Michael Brady). Making Robots See (W. Eric L. Grimson). independent cellular Robots (Rodney A. Brooks). W. Eric L. Grimson, writer of From photographs to Surfaces: A Computational research of the Human Early imaginative and prescient procedure (MIT Press 1981), and Ramesh S. Patil are either Assistant Professors within the division of electric Engineering and computing device technology at MIT. AI within the Nineteen Eighties and past is integrated within the man made Intelligence sequence, edited by way of Patrick H. Winston and Michael Brady.
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Additional info for AI in the 1980s and Beyond: An MIT Survey
That is, there is no way that MULT-2 alone can malfunction to produce the values observed. We conclude as a result that: given the symptoms shown, the only plausible single-fault candidates are either ADD-l or MULT-l. Though this reasoning is very simple, it demonstrates an important principle: knowledge of structure and behavior can form the basis for a powerful kind of diagnostic reasoning. Knowledge of structure is evident in the way in which the reasoning follows the connectivity of the components, moving from F to ADD-I, back through its inputs, etc.
Most important, however, are several interesting characteristics in the design and conception of the system. It is designed for use by service pro fessionals, not by engineers, manufacturing or technical staff. It is designed for sale to and use by outside organizations, not for internal use and con- 28 Randall Davis sumption by the organization that created it. And it permits organizations to enter new markets by offering a way to distribute expertise to a large field force. For the traditional players in the market, it offers a way to deal with the information explosion that overloads their existing service providers.
This aspect of frames offers a convenient way of expressing many of the simple facts about a domain. The know ledge base for a system like this typically consists of a large number of frames, each capturing a single prototypical description. In a medical system, for example, a frame would describe one disease, such as a classic case of viral hepatitis. , what the presenting symptoms or other characteristic features are) . This is typically a large and difficult undertaking. The basic task is then to match the set of frames against the collection of facts about a specific patient, to determine which frame or frames best matches.