We study “causality” relationships in Concurrent Constraint Programming: what is observed is not just the conjunction of constraints deposited in the store, but also the causal dependencies between these constraints. We describe a denotational semantics for cc that is fully-abstract with respect to observing this “causality” relation on constraints. This semantics preserves more fine-grained st...

Traditionally, in physics, space-times are described by (pseudo-)Riemann spaces, i.e., by smooth manifolds with a tensor metric field. However, in several physically interesting situations smoothness is violated: near the Big Bang, at the black holes, and on the microlevel, when we take into account quantum effects. In all these situations, what remains is causality – an ordering relation. To d...

the concept of causality is fundamental to our understanding of the world. the idea of causality was made popular, in western philosophy, by david hume; one of the best-know british empiricists. this paper examines critically the human idea of causality-that of a necessary/physical connection - in juxtaposition to an africa theory. the thesis that the causal relation, when correctly defined, is...

Concepts of greater and greater complexity can be constructed by building systems of entities, by relating other entities to that system with a figure-ground relation, by embedding concepts of figure-ground in the concept of change, by embedding that in causality, and by coarsening the granularity and beginning the process over again. This process can be called the Ontological Ascent. It pervad...

Causal consistency has been introduced to increase wait-free concurrent accesses to a shared memory. Contrarily to sequential consistency, causal consistency allows independent write operations, with respect to the causality relation, to be executed in different orders at each distinct process. This paper introduces a protocol for fully replicated settings which exploits the writing semantic an...

Learning commonsense casual and temporal relation between events is one of the major steps towards deeper language understanding. This is crucial for understanding stories and narrative structure learning. In this paper we introduce a novel semantic annotation framework, called Causal and Temporal Relation Scheme (CaTeRS), which is a prerequisite for learning narrative structures of stories. Th...