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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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  • Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1977-09)
    A representation for numbers using two computer words is discussed, where the value represented is the ratio of the corresponding integers. This allows for better dynamic range and relative accuracy than single-precision ...
  • Solo, David M. (MIT Artificial Intelligence Laboratory, 1986-08)
    The automatic layout of unbounded n-ary tree structures is a problem of subjectively meshing two independent goals: clarity and space efficiency. This paper presents a minimal set of subjective aesthetics which insures ...
  • Brown, Richard (MIT Artificial Intelligence Laboratory, 1976-10)
    Rather.
  • Freuder, Eugene C. (MIT Artificial Intelligence Laboratory, 1972-10)
    High level semantic knowledge will be employed in the development of a machine vision program flexible enough to deal with a class of "everyday objects" in varied environments. This report is in the nature of a thesis ...
  • Rosenberg, Steven (MIT Artificial Intelligence Laboratory, 1977-11-15)
    Some researchers, notably Schank and Abelson, (1975) have argued for the existence of large numbers of scripts as a representation for complex events. This paper adopts a different viewpoint. I consider complex events to ...
  • Davis, Randall (MIT Artificial Intelligence Laboratory, 1982-01)
    On June 24, 1981 twenty-five participants from organizations around the country gathered in MIT's Endicott House for the Second Annual Workshop on Distributed AI. The three-day workshop was designed as an informal meeting, ...
  • Davis, Randall (MIT Artificial Intelligence Laboratory, 1980-09)
    On June 9-11, 22 people gathered at Endicott House for the first workshop on the newly emerging topic of Distributed AI. They came with a wide range of views on the topic, and indeed a wide range of views of what precisely ...
  • Doyle, Richard J. (MIT Artificial Intelligence Laboratory, 1983-01)
    Change pervades every moment of our lives. Much of our success in dealing with a constantly changing world is based in common-sense physical reasoning about processes and physical systems. Processes are the way quantities ...
  • Koton, Phyllis A. (1981-11)
    This paper considers two constraint systems, that of Steele and Sussman, and Alan Borning's Thinglab. Some functional difficulties in these systems are discussed. A representation of constraint systems using the description ...
  • Grossman, Richard W. (MIT Artificial Intelligence Laboratory, 1975-01)
    The issue of how to represent the "meaning" of an utterance is central to the problem of computer understanding of natural language. Rather than relying on ad-hoc structures or forcing the complexities of natural language ...
  • Reubenstein, Howard (MIT Artificial Intelligence Laboratory, 1986-09)
    The Requirements Analyst's APprentice (RAAP) partially automates the modeling process involved in creating a software requirement. It uses knowledge of the specific domain and general experience regarding software requirements ...
  • Gaschnig, John (MIT Artificial Intelligence Laboratory, 1971-07)
    The eye-hand robot at the Artificial Intelligence Laboratory now possesses the ability to occasionally copy simple configurations of blocks, using spare parts about whose presence it knows. One problem with which it cannot ...
  • Ankcorn, John; Horn, Berthold K.P.; Winston, Patrick H. (MIT Artificial Intelligence Laboratory, 1973-03-20)
    This note is a collection of well known interesting facts about human vision. All parameters are approximate. Some may be wrong. There are sections on retina physiology, eye optics, light adaptation, psychological curios, ...
  • Brotsky, Daniel (MIT Artificial Intelligence Laboratory, 1984-12)
    I review three systems which do simulation in different domains. I observe the following commonality in the representations underlying the simulations: • The representations used for individuals tend to be domain-dependent. ...
  • Poggio, T. (MIT Artificial Intelligence Laboratory, 1984-05)
    In a parallel machine with many thousands of processors the routing of information between processors is a key task, which turns out to require as much hardware and perhaps more sophistication than local computing itself. ...
  • Sussman, Gerald J. (MIT Artificial Intelligence Laboratory, 1973-12)
    The purpose of this short document is to exhibit how a HACKER-like top-down planning and debugging system can be applied to the problem of the design and debugging of simple analog electronic circuits. I believe, and I ...
  • Hewitt, Carl; Attardi, Giuseppe; Lieberman, Henry (MIT Artificial Intelligence Laboratory, 1979-02)
    This paper addresses theoretical issues involved for the implementation of security and modularity in concurrent systems. It explicates the theory behind a mechanism for safely delegating messages to shared handlers in ...
  • Bullwinkle, Candace (MIT Artificial Intelligence Laboratory, 1977-03)
    This paper summarizes the design and implementation of the "semantics" module of a natural language undertanding system for the personal assistant domain. This module includes mappings to deep frames, noun phrase referencing ...
  • Dowson, Mark; Waltz, David (MIT Artificial Intelligence Laboratory, 1971-06)
    The VIRGIN program will interpret pictures of crack and shadow free scenes by labelling them according to the Clowes/Huffman formalism. This paper indicates methods of extending the program to include cracks and shadows ...
  • Baker, Henry G. Jr. (MIT Artificial Intelligence Laboratory, 1977-01)
    Shallow binding is a scheme which allows the value of a variable to be accessed in a bounded amount of computation. An elegant model for shallow binding in LISP 1.5 is presented in which context-switching is an environment ...
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