Theory-Based Inductive Learning: An Integration of Symbolic and Quantitative Methods

Abstract

ABSTRACT: The objective of this paper is to propose a method that will generate a causal explanation of observed events in an uncertain world and then make decisions based on that explanation. Feedback can cause the explanation and decisions to be modified. I call the method Theory-Based Inductive Learning (T-BIL). T-BIL integrates deductive learning, based… (More)

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