Conditional Inference and Activation of Knowledge Entities in ACT-R

Wilhelm, Marco, Howey, Diana, Kern-Isberner, Gabriele, Sauerwald, Kai, Beierle, Christoph Artificial Intelligence 

Activation-based conditional inference applies conditional reasoning to ACT-R, a cognitive architecture developed to formalize human reasoning. The idea of activation-based conditional inference is to determine a reasonable subset of a conditional belief base in order to draw inductive inferences in time. Central to activation-based conditional inference is the activation function which assigns to the conditionals in the belief base a degree of activation mainly based on the conditional's relevance for the current query and its usage history.