Humans are intrinsically motivated to learn. Such motivation is necessary to be a human-like learner, and helpful for any learning system designed to achieve general intelligence. We discuss the limited existing computational work in this area, and link them to known and theorized properties of the dopamine system. The relatively well-understood mechanisms by which dopamine release signals unpr...

Graphs can be used to represent and reason about systems a variety of metrics have been devised quantify their global characteristics. However, little is currently known how construct graph or improve an existing one given target objective. In this work, we formulate the construction as decision-making process in which central agent creates topologies by trial error receives rewards proportiona...

OBJECTIVE This research explored the assessment of self-directed learning readiness within the comprehensive evaluation of medical students' knowledge and skills and the extent to which several variables predicted participants' self-directed learning readiness prior to their graduation. METHODS Five metrics for evaluating medical students were considered in a multiple regression analysis. Fou...

We provide the learning of a DAG model arising from high dimensional random variables following both normal and non-normal assumptions. To this end, copula function utilized connecting dependent variables. Moreover to copula, three most applicable copulas have been investigated modeling all dependence structures negative, positive, weak kinds. The functions, FGM, Clayton, Gumbel are considered ...