Information Technology
Problem solving and rule induction: A unified view
In L. W. Gregg (Ed.), Knowledge and cognition. Hillsdale, NJ: Erlbaum
New Programming Languages for Artificial Intelligence Research
"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.
Natural language understanding systems within the AI paradigm: A survey and some comparisons
AI Memo 237, AI Laboratory, Stanford University. (Also in A. Zampolli, Ed., Linguistic structures processing. Amsterdam: North-Holland,
A comparison and evaluation of three machine learning procedures as applied to the game of checkers
Artificial Intelligence 5:137-148.
Networks of constraints: Fundamental properties and applications to picture processing
Information Science 7:95-132
Decision theory and artificial intelligence I: Semantics-based region analyzer
Artificial Intelligence, 5 (4), 349-71.
Learning by inductive inference
NATO Advanced Study Institute an Computer Oriented Learning Processes, p. 15 pgs.
Minds, machines and phenomenology: Some reflections on Dreyfusâ What Computers Canât Do
Rather than provide a general review of Dreyfus critique this article concentrates on certain fundamental criticisms that Dreyfus directs at the information-processing approach to cognitive psychology and points out the unique conception of what it means to understand cognition which separates a phenomenologist from the typical cognitive psychologist.