Combining Multiple Knowledge Sources in an Integrated Intelligent System

Authors:
David M. Steier;Richard L. Lewis;Jill Fain Lehman;Anna L. Zacherl
Affiliations:
-;-;-;-
Venue:
IEEE Expert: Intelligent Systems and Their Applications
Year:
1993

Citing 4
Cited 1

Understanding and Automating Algorithm Design

IEEE Transactions on Software Engineering - Special issue on artificial intelligence and software engineering
A preliminary analysis of the Soar architecture as a basis for general intelligence

Artificial Intelligence
Enabling technology for knowledge sharing

AI Magazine
Principle-Based Parsing: Computation and Psycholinguistics

Principle-Based Parsing: Computation and Psycholinguistics

Elicitation of Knowledge from Multiple Experts Using Network Inference

IEEE Transactions on Knowledge and Data Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Using a stratified approach to system design embodied in Soar, multiple knowledge sources are integrated to implement systems performing different tasks: natural-language comprehension, production scheduling, and algorithm design. These three systems demonstrate that architectural mechanisms can play a key role in constructing systems to perform difficult knowledge-intensive tasks. Basic Soar principles are reviewed, and it is noted that Soar mechanisms reduce both design-time and runtime overhead associated with knowledge integration.