CAUSALITY FOR ELKOs

Using Causality for Diagnosis

This paper introduces a theory of diagnosis for dynamic systems. System behavior is described in an action formalism. Diagnosing amounts to nd the history of the faults that explain the observations after a sequence of actions. The solution to the diagnosis problem provides an explanation for what components failed and when they did. Technically, the diagnosis problem is described by adding a c...

Granular Causality Applications: Using Part-of Relations for Discovering Causality

Causal markers, syntactic structures and connectives have been the sole identifying features for automatically extracting causal relations in natural language discourse. However, various connectives such as “and”, prepositions such as “as”, and other syntactic structures are highly ambiguous in nature, as they have multiple meanings besides causality. As a result, one cannot solely rely on lexi...

Causality for Mobile Processes

We study causality in the-calculus. Our notion of causality combines the dependencies given by the syntactic structure of processes with those originated by passing names. It turns out that two transitions not causally related may although occur in a xed ordering in any computation, i.e.,-calculus may express implicitly a priority between actions. Our causality relation still induces the same p...

Causality

Granger causality for circular variables

In this letter we discuss use of Granger causality to the analyze systems of coupled circular variables, by modifying a recently proposed method for multivariate analysis of causality. We show the application of the proposed approach on several Kuramoto systems, in particular one living on networks built by preferential attachment and a model for the transition from deeply to lightly anaestheti...