Proceedings of the 22nd International Conference on Inductive Logic Programming (ILP 2012),
Lecture Notes in Artificial Intelligence 7842, Springer-Verlag, pages 225-240, 2013.
Children behave dishonestly as a way of managing problems in daily life.
Then our primary interest of this paper is how children learn dishonesty and
how one could model human acquisition of dishonesty using machine learning techniques.
We first observe the structural similarities between dishonest reasoning and induction,
and then characterize mental processes of dishonest reasoning using logic programming.
We argue how one develops behavioral rules for dishonest acts
and refines them to more advanced rules.
Full Paper (PDF 214K)