This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
A central challenge in the design of motivationally intelligent tutoring systems lies in defining and diagnosing a learner’s motivational state: in particular, in distinguishing ...
In a seminal paper, Lin and Reiter introduced a modeltheoretic definition for the progression of the initial knowledge base of a basic action theory. This definition comes with a ...
In this paper, we describe early results in the development of an alternative programming method which uses large, three-dimensional acrylic blocks to construct programming sequen...
This is an investigation into the feasibility of agentprovided assistance for two specific situations, (1) when a previously-interrupted task is resumed, offer to open previously-...