This paper presents a general criterion for measuring the degree to which any given theory can be considered a good explanation of a particular body of data.
A relatively simple method for handling higher-order functions (funargs) in LISP is described. It is also shown how this scheme allows extension of the LISP language to include partial application of functions.
We describe the design and implementation of a general storage system that incrementally loads referenced frames from a DBMS, and save modified frames back to the DBMS, for two different FRSs: LOOM and THEO.
This report describes a reactive system for reasoning about and performing complex tasks in dynamic environments. A powerful and theoretically sound scheme for representing and reasoning about actions and processes has been devised.
Armar A. Archbold, Barbara J. Grosz, & Daniel Sagalowicz
TEAM (Transportable English Data Access Manager) is a computer system designed to acquire information about a (local or remote) database, and subsequently to interpret and answer questions addressed to the database in a subset of natural language.
The purpose of this paper is to construct a model of actions and events that facilitates reasoning about dynamic domains involving multiple agents. Unlike traditional approaches, the proposed model allows for the simultaneous performance of actions, rather than use an interleaving approximation.
This paper discusses the use of artificial intelligence techniques for integrating multi-source information in the process of assessing and understanding an ongoing situation.
This paper investigates an alternative approach, an interactive graphically designates a feature of interest by pointing at or crudely tracing it with a display cursor.
Nils J. Nilsson, Thomas D. Garvey, J.M. Agin, Barbara G. Deutsch, D.C. Lynch, H.G. Barrow, Richard E. Fikes, & Earl D. Sacerdoti
Our research program concentrates especially on the development of systems that can automatically generate and execute complex plans and that can obtain information about their environment through the sense of vision.
