Question: What is the causal relation?
Among incompatibilists, some maintain the existence of free will and accordingly deny universal causal determinism, while others uphold universal causal determinism and deny the existence of free will.
This may be called causal pancomputationalism.
We have surveyed two salient arguments for the causal inefficacy of dispositions.
Causal structure is also often regarded as central to the nature of various entities.
By the Causal Thesis, any disposition (and thus fragility) must have a causal basis.
First, it pictures the causal relation as a directed segment, and the causal relata as nodes.
A purely causal or causal-historical account of reference does not seem a viable option for theoretical terms.
A causal model that comprises a DAG and a probability distribution that satisfies MC is called a causal Bayes net (CBN).
However, if each individual contingent being has a causal explanation, then the entire causal series has an explanation.
Thus, versions of causal theories that suppose that all content must be based on causal connections are fundamentally mistaken.
Reichenbach’s Common Cause Principle is closely related to the Causal Markov Condition that is commonly employed in causal modeling.
The program of providing probabilistic representations of causal relations needs to provide conditions that disentangle causal networks.
A causal graph and its probability distribution express a dependency hypothesis and yield each act’s causal influence given that hypothesis.
Note that the Causal Markov Condition tells us that certain causal structures give rise to relations of conditional probabilistic independence.
This essay explains causal decision theory, reviews its history, describes current research in causal decision theory, and surveys the theory’s philosophical foundations.
Much explanation in science is causal explanation, and causal explanations often proceed by citing properties of the things involved in causal interactions.
A comprehensive causal decision theory treats not only causal probabilities’ generation of options’ expected utilities, but also evidence’s generation of causal probabilities.
As Deutscher (1989) points out, there would seem to be no plausible story about what it is to retain knowledge that does not appeal to the sort of causal connection posited by the causal theory.
Suggested kinds of interdisciplinary causal-model integration are the following: sequential causal order in a process or mechanism cutting across disciplinary divides; horizontal parallel integration of different causal models of different elements of a complex phenomenon; horizontal joint causal model of the same effect; and vertical or cross-level causal integration (see emergent or top-down causality, below) (Repko 2012, Kockelmans 1979).
causal
adj all
- involving or constituting a cause; causing
Example: a causal relationship between scarcity and higher prices
On this page, there are 20 sentence examples for causal. They are all from high-quality sources and constantly processed by lengusa's machine learning routines.
Grid-Flow technology
Just use the " " button to fragment sentence examples and start your learning flow.
Example output from one of your searches:
Suggested kinds of interdisciplinary causal-model integration are the following sequential causal order in a process or mechanism cutting across disciplinary divides horizontal parallel integration of different causal models of different elements of a complex phenomenon horizontal joint causal model of the same effect and vertical or cross-level causal integration see emergent or top-down causality below Repko 2012 Kockelmans 1979