Browsing AI Working Papers (1971 - 1995) by Title

Now showing items 70-89 of 291

    • Evolving Parallel Programs 

      Hewitt, Carl (MIT Artificial Intelligence Laboratory, 1979-05)
      Message passing is directed toward the production of programs that are intended to execute efficiently in a computing environment with a large number of processors. The paradigm attempts to address the computational issues ...

    • Exact Reproduction of Colored Images 

      Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1980-12)
      The problem of producing a colored image from a colored original is analyzed. Conditions are determined for the production of an image, in which the colors cannot be distinguished from those in the original by a human ...

    • Exceptional Situations in Lisp 

      Pitman, Kent M. (MIT Artificial Intelligence Laboratory, 1985-02)
      Frequently, it is convenient to describe a program in terms of the normal situations in which it will be used, even if such a description does not describe the its complete behavior in all circumstances. This paper surveys ...

    • An Experiment in Knowledge Acquisition for Software Requirements 

      Lefelhocz, Paul M. (MIT Artificial Intelligence Laboratory, 1990-05)
      The Requirements Apprentice (RA) is a demonstration system that assists a human analyst in the requirements-acquisition phase of the software-development process. By applying the RA to another example it has been possible ...

    • Extending 2-D Smoothed Local Symmetries to 3-D 

      Braunegg, David J. (MIT Artificial Intelligence Laboratory, 1985-11)
      3-D Smoothed Local Symmetries (3-D SLS's) are presented as a representation for three-dimensional shapes. 3-D SLS's make explicit the perceptually salient features of 3-D objects and are especially suited to representing ...

    • Extracting topographic features from elevation data using contour lines 

      Bruss, Anna R. (MIT Artificial Intelligence Laboratory, 1977-05)
      This paper describes a method for finding such topographical features as ridges and valleys in a given terrain. Contour lines are used to obtain the desired result.

    • The Facts of Light 

      Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1975-05)
      This is a random collection of facts about radiant and luminous energy. Some of this information may be useful in the design of photo-diode image sensors, in the set-up of lighting for television microscopes and the ...

    • A Fair Power Domain for Actor Computations 

      Clinger, Will (MIT Artificial Intelligence Laboratory, 1979-06)
      Actor-based languages feature extreme concurrency, allow side effects, and specify a form of fairness which permits unbounded nondeterminism. This makes it difficult to provide a satisfactory mathematical foundation for ...

    • Feature Point Generation Programs 

      Griffith, Arnold K. (MIT Artificial Intelligence Laboratory, 1971)
      The programs in this set extract, from a raster of intensity values over some scene, a set of points which are adjudged to lie along the boundaries of objects in the scene. Intensities may be obtained directly from the new ...

    • FED, the Font "EDitor" and Font Formats 

      Cohen, Joseph D.; Jarvis, J. Pitts (MIT Artificial Intelligence Laboratory, 1974-10)
      This memo describes FED, a program used for compiling and inspecting fonts: AST font format, a text format which can be used to create and edit fonts: and KST font format, the binary format used by SCRIMP, TJ6, and PUB.

    • Finding Components on a Circuit Board 

      Lozano-Perez, Tomas (MIT Artificial Intelligence Laboratory, 1973-09)
      This paper describes a set of programs written in LISP that recognize resistors on circuit boards. The approach leans heavily on a thorough examination of the features found in representative intensity arrays and on ...

    • Finding the Skeleton of a Brick* 

      Finin, Tim (MIT Artificial Intelligence Laboratory, 1973-03)
      TC-SKELETON's duty is to help find the dimensions of brick shaped objects by searching for sets of three complete edges, on for each dimension. The program was originally written by Patrick Winston, and then was refined ...

    • The FINDSPACE Problem 

      Sussman, Gerald Jay (MIT Artificial Intelligence Laboratory, 1971-08-03)
      The FINDSPACE problem is that of establishing a volume in space where an object of specified dimensions will fit. The problem seems to have two subproblems: the hypothesis generation problem of finding a likely spot to ...

    • Fine Grained Robotics 

      Flynn, Anita M.; Barrett, David S. (MIT Artificial Intelligence Laboratory, 1991-02)
      Fine grained robotics is the idea of solving problems utilizing multitudes of very simple machines in place of one large complex entity. Organized in the proper way, simple machines and simple behaviors can lead to emergent ...

    • Formalizing Reusable Software Components 

      Rich, Charles; Waters, Richard C. (MIT Artificial Intelligence Laboratory, 1983-07)
      There has been a long-standing desire in computer science for a way of collecting and using libraries of standard software components. Unfortunately, there has been only limited success in actually doing this. We believe ...

    • Formalizing the Expertise of the Assembly Language Programmer 

      Duffey, Roger DuWayne II (MIT Artificial Intelligence Laboratory, 1980-09)
      A novel compiler strategy for generating high quality code is described. The quality of the code results from reimplementing the program in the target language using knowledge of the program's behavior. The research is a ...

    • Frame-Based Knowledge Representation 

      Steels, Luc (MIT Artificial Intelligence Laboratory, 1978-10)
      The paper introduces a language for representing knowledge in a declarative form. With this language it is possible to define knowledge about a certain domain by introducing a number of concepts and by specifying their ...

    • From Computational Theory to Psychology and Neurophysiology -- a case study from vision 

      Marr, David (MIT Artificial Intelligence Laboratory, 1976-08)
      The CNS needs to be understood at four nearly independent levels of description: (1) that at which the nature of a computation is expressed; (2) that at which the algorithms that implement a computation are characterised; ...

    • Functions and Frames in the Learning of Structures 

      Freiling, Michael J. (MIT Artificial Intelligence Laboratory, 1973-12)
      This paper discusses methods for enhancing the learning abilities of the Winston program, first by representing functional properties of the objects considered, and secondly by embedding individual models in a hierarchically ...

    • The Fundamental Eel Equations 

      Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1975-12)
      Details of the kinematics, statics, and dynamics of a particularly simple form of locomotory system are developed to demonstrate the importance of understanding the behavior of the mechanical system interposed between the ...