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The Markov condition for a Bayesian network states that the any node in a Bayesian network is conditionally independent of its nondescendents, given its parents.

A node is conditionally independent of the entire network, given its Markov blanket.

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Topics: Causal Markov Condition, Causality (physics), Causal Determinism...

CausalityThe philosophical concept of Causality or Causation refers to the set of all particular "causal" or "cause-and-effect" relations. The Differentia (distinguishing properties/characteristics) of Causality which all causal relations have in common: The relat	Causality (physics)Although causality the relationship between causes and effects, is often examined in the fields of philosophy, computer science, and statistics, it has a place in the study of physics as well. In classical physics, it was assumed that all events are cause	Causal determinismPut simply, causal determinism expresses the belief that every effect has a cause, and therefore science, pursued diligently enough, will explain all natural phenomena and thus produce a TOE ( Theory of Everything). This idea goes hand in hand with materi
Causal theory of namesPhilosophy of language A causal theory of proper names is any of a family of views about what kind of meaning a proper name (or "proper noun") has, what object it refers to, and how it acquires these features. In its strongest contemporary form, it involv	Causality loopA temporal causality loop is a theoretical phenomenon, which is said to occur when a chain of cause-effect events is circular. For instance, if event A causes event B, and event B causes event C, and event C causes event A, then these events are said to b	Causal systemA causal system is a system that depends only on the current and previous inputs. This property is referred to as causality. A system that gets values from the future is termed acausal. Classically, nature has been considered to be a causal system. Though
Causal-final case	Causal Markov Condition

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