To reduce the complexity of studying a parallel mechanism for natural language learning and understanding which supports both utterance and discourse processing, we propose a comp...
We show how cultural selection for learnability during the process of linguistic evolution can be visualized using a simple iterated learning model. Computational models of linguis...
Agent systems that search the Semantic Web are seen as killer applications for description logic (DL) inference engines. The guiding examples for the Semantic Web involve informat...
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
We conducted a survey of 155 participants to examine privacy concerns relating to the viewing of incidental information (i.e. traces of previous activity unrelated to the task at ...