In this extended abstract I describe some norm typolgies developed within sociololgy and social philosophy. Using these typologies we can determine the bounderies of the different...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griff...
This paper presents a way to compute relative social status of the individuals involved in Korean dialogue. Every Korean sentence indicates whether honorification occurs in it. Th...
Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...