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Browsing Artificial Intelligence Lab Publications by Title

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Browsing Artificial Intelligence Lab Publications by Title

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  • Wait-and-See Strategies for Parsing Natural Language 
    Marcus, Mitchell P. (MIT Artificial Intelligence Laboratory, 1974-08)
    The intent of this paper is to convey one idea central to the structure of a natural language parser currently under development, the notion of wait-and-see strategies. This notion will hopefully allow the recognition of ...
  • Wandering About the Top of the Robot 
    Winston, Patrick H. (MIT Artificial Intelligence Laboratory, 1971-07)
    Part I of this paper describes some of the new functions in the system. The discussion is seasoned here and there with parenthetical code fragments that may be ignored by readers unfamiliar with PLANNER. Part II discussed ...
  • What a Parallel Programming Language Has to Let You Say 
    Bawden, Alan; Agre, Philip E. (1984-09-01)
    We have implemented in simulation a prototype language for the Connection Machine called CL1. CL1 is an extrapolation of serial machine programming language technology: in CL1 one programs the individual processors ...
  • What Are Plans For? 
    Agre, Philip E.; Chapman, David (1989-10-01)
    What plans are like depends on how they're used. We contrast two views of plan use. On the plan-as-program-view, plan use is the execution of an effective procedure. On the plan-as-communication view, plan use is like ...
  • What Corners Look Like 
    Dowson, Mark; Waltz, David (MIT Artificial Intelligence Laboratory, 1971-06)
    An algorithm is presented which provides a way of telling what a given trihedral corner will look like if viewed from a particular angle. The resulting picture is a junction of two or more lines each labelled according to ...
  • What is Delaying the Manipulator Revolution? 
    Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1978-02)
    Despite two decades of work on mechanical manipulators and their associated controls, we do not see wide-spread application of these devices to many of the tasks to which they seem so obviously suited. Somehow, a variety ...
  • What Makes a Good Feature? 
    Richards, W.; Jepson, A. (1992-04-01)
    Using a Bayesian framework, we place bounds on just what features are worth computing if inferences about the world properties are to be made from image data. Previously others have proposed that useful features reflect ...
  • What's in a Tune 
    Bamberger, Jeanne (1974-11-01)
    The work reported here began with two fundamental assumptions: 1) The perception of music is an active process; it involves the individual in selecting, sorting, and grouping the features of the phenomena before her. ...
  • What's What 
    Winston, Patrick H. (MIT Artificial Intelligence Laboratory, 1971-03)
    An outline of the modules used in the copy demonstration, the reasons for doing robotics, and some possible directions for further work.
  • What to Read: A Biased Guide to AI Literacy for the Beginner 
    Agre, Philip E. (MIT Artificial Intelligence Laboratory, 1972-11)
    This note tries to provide a quick guide to AI literacy for the beginning AI hacker and for the experienced AI hacker or two whose scholarship isn't what it should be. most will recognize it as the same old list of classic ...
  • Why are There so Few Female Computer Scientists? 
    Spertus, Ellen (1991-08-01)
    This report examines why women pursue careers in computer science and related fields far less frequently than men do. In 1990, only 13% of PhDs in computer science went to women, and only 7.8% of computer science ...
  • Why Conniving is Better than Planning 
    Sussman, Gerald Jay (1972-02-01)
    A higher level language derives its great power form the fact that it tends to impose structure on the problem solving behavior for the user. Besides providing a library of useful subroutines with a uniform calling ...
  • Why Conniving is Better than Plannng 
    Sussman, Gerald Jay; McDermott, Drew Vincent (1972-04-01)
    This paper is a critique of a computer programming language, Carl Hewitts PLANNER, a formalism designed especially to cope with the problems that Artificial Intelligence encounters. It is our contention that the ...
  • Why Do We See Three-dimensional Objects? 
    Marill, Thomas (1992-06-01)
    When we look at certain line-drawings, we see three-dimensional objects. The question is why; why not just see two-dimensional images? We theorize that we see objects rather than images because the objects we see are, ...
  • Why Stereo Vision is Not Always About 3D Reconstruction 
    Grimson, W. Eric L. (1993-07-01)
    It is commonly assumed that the goal of stereovision is computing explicit 3D scene reconstructions. We show that very accurate camera calibration is needed to support this, and that such accurate calibration is difficult ...
  • WIRElist 
    Holloway, John (1969-01-01)
    This memo describes a design aid used for the automatic production of wirelists for machine or hand wiring of wire-cards.
  • Workshop on the Design and Control of Dextrous Hands 
    Hollerbach, John M. (1982-04-01)
    The Workshop for the Design and Control of Dexterous Hands was held at the MIT Artificial Intelligence Laboratory on November 5-6, 1981. Outside experts were brought together to discuss four topics: kinematics of hands, ...
  • Worms of Ganymedes - Hazards of Image "Restoration" 
    Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1980-09)
  • Wrist-Partitioned Inverse Kinematic Accelerations and Manipulator Dynamics 
    Hollerbach, John M.; Sahar, Gideon (1983-04-01)
    An efficient algorithm is presented for the calculation of the inverse kinematic accelerations for a 6 degree-of-freedom manipulator with a spherical wrist. The inverse kinematic calculation is shown to work synergistically ...
  • Writing and Representation 
    Agre, Philip E. (MIT Artificial Intelligence Laboratory, 1988-09)
    This paper collects several notes I've written over the last year in an attempt to work through my dissatisfactions with the ideas about representation I was taught in school. Among these ideas are the notion of a 'world ...
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