Journal of International Information Management


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.