Open Access Repositories: Recent submissions
Now showing items 2121-2140 of 4204
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Interfacing to the Programmer's Apprentice
(MIT Artificial Intelligence Laboratory, 1983-02)In this paper, we discuss the design of a user interface to the Knowledge Based Editor (KBE), a prototype implementation of the Programmer's Apprentice. Although internally quite sophisticated, the KBE hides most of its ...
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Representing Change for Common-Sense Physical Reasoning
(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 ...
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The Condor Programmer's Manual - Version II
(MIT Artificial Intelligence Laboratory, 1987-07)This is the CONDOR programmer's manual, that describes the hardware and software that form the basis of the real-time computational architecture built originally for the Utah-MIT hand. The architecture has been used ...
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The Connection Machine RAM Chip
(MIT Artificial Intelligence Laboratory, 1983-01-03)This document describes the three transistor NMOS dynamic ram circuit used in the connection machine. It was designed and implemented by Brewster Kahle, with the assistance of Jim Cherry, Danny Hillis and Tom Knight. ...
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Dynamics of Manipulators with Less Than One Degree of Freedom
(MIT Artificial Intelligence Laboratory, 1983-01)We have developed an efficient Lagrangian formulation of manipulators with small numbers of degrees of freedom. The efficiency derives from the lack of velocities, accelerations, and generalized forces. The number of ...
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The Interaction Between Truth Maintenance, Equality, and Pattern-Directed Invocation: Issues of Completeness and Efficiency
(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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An Empirical Study of Program Modification Histories
(MIT Artificial Intelligence Laboratory, 1983-03)Large programs undergo many changes before they run in a satisfactory manner. For many large programs, modification histories are kept which record every change that is made to the program. By studying these records, ...
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What to Read: A Biased Guide to AI Literacy for the Beginner
(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 ...
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Gnat Robots (And How They Will Change Robotics)
(MIT Artificial Intelligence Laboratory, 1987-06)A new concept in mobile robots is proposed, namely that of a gnat-sized autonomous robot with on-board sensors, brains, actuators and power supplies, all fabricated on a single piece of silicon. Recent breakthroughs in ...
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Talking to the Puma
(MIT Artificial Intelligence Laboratory, 1982-09)The AI Lab's Unimation Puma 600 is a general-purpose industrial robot arm that has been interfaced to a Lisp Machine for use in robotics projects at the lab. It has been fitted with a force-sensing wrist. The Puma is capable ...
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Automated Program Description
(MIT Artificial Intelligence Laboratory, 1982-08)The Programmer's apprentice (PA) is an automated program development tool. The PA depends upon a library of common algorithms (cliches) as the source of its knowledge about programming. The PA uses these cliches to understand ...
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ACE: A Cliché-based Program Structure Editor
(MIT Artificial Intelligence Laboratory, 1987-05)ACE extends the syntax-directed paradigm of program editing by adding support for programming clichés. A programming cliché is a standard algorithmic fragment. ACE supports the rapid construction of programs through the ...
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Getting Started Computing at the AI Lab
(MIT Artificial Intelligence Laboratory, 1982-09-07)This document describes the computing facilities at M.I.T. Artificial Intelligence Laboratory, and explains how to get started using them. It is intended as an orientation document for newcomers to the lab, and will be ...
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TRIG: An Interactive Robotic Teach System
(MIT Artificial Intelligence Laboratory, 1982-06)Currently, it is difficult for a non-programmer to generate a complex sensor-based robotic program. Most robot programming methods either generate only very simple programs or are such that they are only useful to programmers. ...
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Discovery Systems: From AM to CYRANO
(MIT Artificial Intelligence Laboratory, 1987-03)The emergence in 1976 of Doug Lenat's mathematical discovery program AM [Len76] [Len82a] was met with suprise and controversy; AM's performance seemed to bring the dream of super-intelligent machines to our doorstep, with ...
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Code Generation in the Programmer's Apprentice
(MIT Artificial Intelligence Laboratory, 1982-05)The Programmer's Apprentice is a highly interactive program development tool. The user interface to the system relies on program text which is generated from an internal plan representation. The programs generated need to ...
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Aspects of the Rover Problem
(MIT Artificial Intelligence Laboratory, 1982-12)The basic task of a rover is to move about automonously in an unknown environment. A working rover must have the following three subsystems which interact in various ways: 1) locomotion--the ability to move, 2) perception--the ...
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Knowledge-Based Schematics Drafting: Aesthetic Configuration as a Design Task
(MIT Artificial Intelligence Laboratory, 1987-01)Depicting an electrical circuit by a schematic is a tedious task that is a good candidate for automation. Programs that draft schematics with the usual algorithmic approach do not fully exploit knowledge of circuit function, ...
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Hidden Cues in Random Line Stereograms
(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 ...
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A Primer for TEX Users
(MIT Artificial Intelligence Laboratory, 1982-03)TEX is our latest text formatter. It is designed specifically for technical text (e.g., mathematics), and produces much higher quality output than other formatters previously available. Donald Knuth designed TEX at Stanford ...
