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Browsing AI Working Papers (1971 - 1995) by Title

Research and Teaching Output of the MIT Community

Browsing AI Working Papers (1971 - 1995) by Title

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  • Speckert, Glen (MIT Artificial Intelligence Laboratory, 1976-07)
    This paper describes a simple method of converting visual coordinates to arm coordinates which does not require knowledge of the position of the camera(s). Comparisons are made to other methods and two camera, three ...
  • Shirai, Yoshiaki (MIT Artificial Intelligence Laboratory, 1972-06)
    Recognition of polyhedra by a heterarchical program is presented. The program is based on the strategy of recognizing objects step by step, at each time making use of the previous results. At each stage, the most obvious ...
  • Winston, Patrick H. (MIT Artificial Intelligence Laboratory, 1971-03)
  • Nishihara, H. K.; Poggio, T. (MIT Artificial Intelligence Laboratory, 1982-04)
    Successful fusion of random-line stereograms with breaks in the vernier acuity range has been interpreted to suggest that the interpolation process underlying hyperacuity is parallel and preliminary to stereomatching. In ...
  • Dunlavey, Michael R. (MIT Artificial Intelligence Laboratory, 1973-05)
    Organization of knowledge requires the flexible use of hierarchy in descriptions. This memo attempts to catalog the issues related to recognizing and executing such descriptions, drawing examples primarily from the blocks world.
  • Doyle, Jon (MIT Artificial Intelligence Laboratory, 1977-11)
    This paper discusses a number of problems faced in communicating expertise and common sense to a computer, and the approaches taken by several current knowledge representation languages towards solving these problems. The ...
  • Morrison, Jerry Howard (MIT Artificial Intelligence Laboratory, 1977-05)
    PLASMA (for PLAnner-like System Modeled on Actors) is a message-passing computer language based on actor semantics. Since every event in the system is the receipt of a message actor by a target actor, a complete history ...
  • Smith, Brian Cantwell (MIT Artificial Intelligence Laboratory, 1978-11)
    In the summer of 1978 a decision was made to devote a special issue of the SIGART newsletter to the subject of knowledge representation research. To assist in ascertaining the current state of people's thinking on this ...
  • Hollerbach, John (MIT Artificial Intelligence Laboratory, 1975-07)
    Handwriting is shown to be composed mainly of cup-shaped strokes lasting approximately 200 msec. The strokes are based on a hexagonal pattern, with quantized slopes and lengths. Each side of the hexagon is produced by a ...
  • Chapman, David (MIT Artificial Intelligence Laboratory, 1988-10)
    This document presumptuously purports to explain how to do research. We give heuristics that may be useful in pickup up specific skills needed for research (reading, writing, programming) and for understanding and enjoying ...
  • Griffith, Arnold K. (MIT Artificial Intelligence Laboratory, 1971-03)
  • Brotsky, Daniel (MIT Artificial Intelligence Laboratory, 1986-06-09)
    YTEX—pronounced why-TEX or oops-TEX—is a TEX macro package. YTEX provides both an easy-to-use interface for TEX novices and a powerful macro-creation library for TEX programmers. It is this two-tier structure that makes ...
  • Kuipers, Benjamin J. (MIT Artificial Intelligence Laboratory, 1974-03)
    This paper presents a visual recognition program in which recognition process is driven by hypotheses about the object being recognized. The hypothesis suggests which features to examine next, refines its predictions based ...
  • Fahlman, Scott E. (MIT Artificial Intelligence Laboratory, 1973-12)
    This paper proposes a new approach to a broad class of recognition problems ranging from medical diagnosis to vision. The features of this approach include a top-down hypothesize-and-test style and the use of a great deal ...
  • Sandewall, Erik (MIT Artificial Intelligence Laboratory, 1975-01)
    The trend toward larger data bases in A.I. programs makes it desirable to provide program support for the activity of building and maintaining LISP data bases. Many techniques can be drawn from present and proposed systems ...
  • Lee, Jintae (MIT Artificial Intelligence Laboratory, 1985-08)
    In this paper, an intelligent database management system (DBMS) called IDEME is presented. IDEME is a program that takes as input a task specification and finds a set of methods potentially relevant to solving that task. ...
  • Hewitt, Carl; Baker, Henry G. Jr. (MIT Artificial Intelligence Laboratory, 1977-06)
    This paper investigates some problems associated with an argument evaluation order that we call "future" order, which is different from both call-by-name and call-by-value. In call-by-future, each formal parameter of a ...
  • Binnard, Michael (MIT Artificial Intelligence Laboratory, 1995-02-23)
    This paper describes the injection molding equipment at the MIT Artificial Intelligence Lab and how to use it. Topic covered include mold design, insert molding, safety, and material properties.
  • Poggio, Tomaso (MIT Artificial Intelligence Laboratory, 1985-12)
    I outline a project for integrating several early visual modalities based on coupled Markov Random Fields models of the physical processes underlying image formation, such as depth, albedo and orientation of surfaces. The ...
  • Feldman, Yishai A.; Rich, Charles (MIT Artificial Intelligence Laboratory, 1987-05)
    We have implemented a reasoning system, called BREAD, which includes truth maintenance, equality, and pattern-directed invocation. This paper reports on the solution of two technical problems arising out of the interaction ...
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