This article explores the assumption that a deeper (quantitative) understanding of the information-theoretic implications of sensory-motor coordination can help endow robots not o...
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Interconnected service providers constitute a highly dynamic, complex, distributed environment. Multi-agent system design-methodologies have been trying to address this kind of env...
Natural Language Generation for personality rich characters represents one of the important directions for believable agents research. The typical approach to interactive NLG is t...
Christina R. Strong, Manish Mehta, Kinshuk Mishra,...
We analyze a corpus of referring expressions collected from user interactions with a multimodal travel guide application. The analysis suggests that, in dramatic contrast to norma...