Qualitative and quantitative knowledge in classical mechanics

Classics

Tech. rep. AITR- 352, MIT Artificial Intelligence Laboratory. Reprinted In P. H. Winston and R. H. Brown (editors), Artificial Intelligence: An MIT Perspective, pages S-30. The MIT Press, Cambridge, 1979.


A Framework for Representing Knowledge

Classics

Reprinted in Patrick Winston (ed.), The Psychology of Computer Vision, New York: McGraw-Hill, 1975.Direct link to PDF. MIT-AI Laboratory Memo 306, June






New Programming Languages for Artificial Intelligence Research

Classics

"New directions in Artificial Intelligence research have led to the need for certain novel features to be embedded in programming languages. This paper gives an overview of the nature of these features, and their implementation in four principal families of AI languages: SAIL; PLANNER/CONNIVER; QLISP/INTERLISP; and POPLER/POP-2. The programming featurcs described include: new data types and accessing mechanisms for stored expressions; more flexible control structures, including multiple processes and backtracking; pattern matching to allow comparison of data item with a template, and extraction of labeled subexpressions; and deductive mechanisms which allow the programming system to carry out certain activities including modifying the data base and deciding which subroutines to run next using only constraints and guidelines set up by the programmer."ACM Computing Surveys, Vol. 6, No. 3, September 1974, pp. 155 174.