Logical abduction is a relatively unknown technique that may be used to classify or forecast. This paper describes abduction and applies it to a classification problem involving population change in the United States to test its accuracy. Results show that for this problem, it is as accurate as logistic regression, used in a prior study. Guidelines for using abduction are also presented.
"An abductive model of population change,"
Journal of International Information Management: Vol. 8
, Article 4.
Available at: https://scholarworks.lib.csusb.edu/jiim/vol8/iss2/4