We propose a sensornet programming model based on declarative spatio-temporal constraints on events only, not sensors. Where previous approaches conflate events and sensors becaus...
Referral networks are a kind of P2P system consisting of autonomous agents who seek and provide services, or refer other service providers. Key applications include service discove...
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 ...
I propose that the notion of cognitive state be broadened from the current predicate-symbolic, Language-of-Thought framework to a multi-modal one, where perception and kinesthetic...
This paper presents, fromthe author's perspective, the problems that occur in practice during data modelling. The author's experiences are a result of a considerable num...