In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not impleme...
Abstract. In this paper we show how to compress efficiently the statespace of a concurrent system (here applied to a simple shared memory model, but this is no way limited to that ...
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Perceptual popout is defined by both feature similarity and local feature contrast. We identify these two measures with attraction and repulsion, and unify the dual processes of a...
This paper presents a method to represent two-person interactions at a semantic level with a natural language description. A human interaction is composed of two singleperson acti...