Using abductive inferencing to derive complex error classifications for discrete sequential processes

Authors:
Sanjeev B. Ahuja;James A. Reggia
Affiliations:
Research Associate in computer science, University of Maryland, College Park, MD;Associate Professor of Neurology, Jointly appointed to the Department of Computer Science , University of Maryland, College Park, MD
Venue:
ANSS '86 Proceedings of the 19th annual symposium on Simulation
Year:
1986

Principles of artificial intelligence

Principles of artificial intelligence
A Computer Model of Skill Acquisition

A Computer Model of Skill Acquisition
Art and Theory of Dynamic Programming

Art and Theory of Dynamic Programming
Logical Design of Digital Systems

Logical Design of Digital Systems
Simulation of phonemic errors using artificial intelligence symbol processing techniques

ANSS '84 Proceedings of the 17th annual symposium on Simulation
Knowledge-based decision support systems: development through kms

Knowledge-based decision support systems: development through kms
An artificial intelligence environment for the analysis and classification of errors in discrete sequential processes (simulation, abduction, diagnostic, set-covering, modelling)

An artificial intelligence environment for the analysis and classification of errors in discrete sequential processes (simulation, abduction, diagnostic, set-covering, modelling)

Hi-index	0.00