This reference manual consists of two parts. The first (sections 1 through 6) is intended for those who are either interested in the ITS 1.5 time sharing monitor for its own sake or who wish to write machine language programs…

Well-known methods for solving the shape-from-shading problem require knowledge of the reflectance map. Here we show how the shape-from-shading problem can be solved when the reflectance map is not available, but is known to have a given form with some…

This is a reprint of page proofs of Chapter 12 of Perceptrons, M. Minsky and S. Papert, MIT Press 1968, (we hope). It replaces A.I. Memo No. 156 dated March 1968. The perceptron and convergence theorems of Chapter 11 are…

The program described here takes as its input a collection of lines, vertices and surfaces describing a scene, and analyzes the scene into a composition of three-dimensional objects. The program does not need to know the form (model, or pattern)…

This memo describes PROGRAMMER, a parser for natural language. It consists of a language for writing grammars in the form of programs, and an interpreter which can use these grammars to parse sentence. PROGRAMMER is one part of an integrated…

To determine why something has stopped working, it's helpful to know how it was supposed to work in the first place. This simple fact underlies recent work on a number of systems that do diagnosis from knowledge about the internal…

This paper demonstrates that it is possible to generate a reasonably accurate coordinate system on randomly distributed processors, using only local information and local communication. By coordinate systems we imply that each element assigns itself a logical coordinate that maps…

The need for robust and easily extensible systems for word sense disambiguation coupled with successes in training systems for a variety of tasks using large on-line corpora has led to extensive research into corpus-based statistical approaches to this problem. Promising…

At a time when it is clear that climate change adaptation and mitigation are failing, this book examines how our assumptions about (valid and usable) knowledge are preventing effective climate action. Through a cross-disciplinary, empirically-based analysis of climate science and…

A key problem in model-based object recognition is selection, namely, the problem of isolating regions in an image that are likely to come from a single object. This isolation can be either based solely on image data (data-driven) or can…