The most relevant published usage of ITL was in scientific journal published in 2012 and used ITL as a way to describe how agent-based learning works. According to the journal "The Inferential Theory of Learning (ITL) provides an elegant way of describing learning processes by agents".4
Michalski, Ryszard S. (1993). "Inferential theory of learning as a conceptual basis for multistrategy learning". Machine Learning. 11 (2–3): 111–151. doi:10.1007/bf00993074. ISSN 0885-6125. https://doi.org/10.1007%2Fbf00993074 ↩
"Inferential Theory of Learning – GMU Machine Learning and Inference Laboratory". www.mli.gmu.edu. Retrieved 2018-12-04. https://www.mli.gmu.edu/index.php/research/inferential-theory-of-learning/ ↩
Naidenova, Xenia (2010). Machine learning methods for commonsense reasoning processes : interactive models. Hershey, PA: Information Science Reference. ISBN 9781605668109. OCLC 606360112. 9781605668109 ↩
Wojtusiak, Janusz; Warden, Tobias; Herzog, Otthein (December 2012). "Machine learning in agent-based stochastic simulation: Inferential theory and evaluation in transportation logistics". Computers & Mathematics with Applications. 64 (12): 3658–3665. doi:10.1016/j.camwa.2012.01.079. ISSN 0898-1221. https://doi.org/10.1016%2Fj.camwa.2012.01.079 ↩