Sentence examples for causality relations from inspiring English sources

Our algorithms, Causal Predictor (CP) and Relaxed Causal Predictor (RCP) distinguish the direct and indirect causality relations from the non-causal interactions, thus significantly reducing the number of miss-predicted edges.

The paper then proposes a set of axioms on the proposed causality relations.

This paper derives and studies causality relations between nonatomic distributed events in the execution of a complex distributed application.

For identifying the causality relations, the definition of causation based on the concept of manipulation is adopted [15].

Such causality relations are useful because they provide a fine level of discrimination in the specification of the relative timing relations and synchronization conditions between the nonatomic events.

As the correlations shown here correspond to static snapshots, they cannot however be used to infer causality relations between connectivity and book adoption.

Contrast with conditional relation, causality relation often occurs in a happened situation.

The set of intervals defined on a distributed computation defines an abstraction of this distributed computation, and the traditional causality relation on events induces a relation on the set of intervals that we call I-precedence.

Recent literature in the field of cultural economics highlights a possible inversion in the usual causality relation (from economic growth to culture) and points out that culture may represent an important driver of economic growth.

Moreover the results depict the existence of the long-run unidirectional Granger causality relation running from output per capita to renewable electricity production per capita, and from non-renewable electricity production per capita to renewable electricity production per capita.

Finally, the correlation coefficients of R for the SSA, NC, and PG reveal a different causality relation when compared with those of X, which are defined by: r NC PG ~ r SSA NC × r SSA PG.