Probabilistic models of observed features and aspects with application to weighted aspect graphs

An observability sphere model is presented. This is a novel probabilistic model from which one can estimate the observation probabilities of projected features and aspects. As shown here, it is useful also for the construction of a new kind of simplified aspect graphs with probabilistic node weights.