Psychological models of intelligent behavior have increasingly used concepts from computer science, especially Artificial Intelligence. In this paper we review some perhaps lesser know AI ideas that might also have utility in psychological modeling.
MSYS is a system for reasoning with uncertain information and inexact rules of inference. Its major application, to date, has been to the interpretation of visual features (such as regions) in scene analysis.
Earl D. Sacerdoti, Richard E. Fikes, Rene Reboh, Daniel Sagalowicz, Richard J. Waldinger, & B.M. Wilber
This paper presents a functional overview of the features and capabilities of QLISP, one of the newest of the current generation of very high level languages developed for use in artificial intelligence (AI) research.
A mature version of QLISP is described. QLISP permits free intermingling of advanced language constructs with those of INTERLISP. It provides an associative data base, viewed from perspectives controlled by a powerful context mechanism.
What do the following tasks have in common–playing checkers, diagnosing bacterial infections, analyzing mass spectrograms of large organic molecules, and controlling factory automation machinery?
We describe in this paper a subjective Bayesian inference method that realizes some of the advantages of both formal and informal approaches. Of particular interest are the modifications needed to deal with the inconsistencies usually found in collections of subjective statements.
INTERLISP, an interactive, development-oriented computer programming system, has been augmented to support applications requiring large data bases maintained on secondary store.
