This paper extends the application of the Cantor metric as a mathematical tool for defining causalities from pure discrete models to mixed-signal and hybrid models. Using the Cant...
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
A set of synchronization relations between distributed nonatomic events was recently proposed to provide real-time applications with a fine level of discrimination in the specifica...
Mass causality incidents generate a sequence of response events from the emergency services, requiring the allocation and use of resources in a timely fashion. In this paper we de...
Marcus Lucas da Silva, Vassilis Kostakos, Mitsuji ...