Also see the entry probabilistic causation.)
He calls such probabilistic meanings ‘grades of salience’.
Section 4 covers probabilistic accounts of actual causation.
The older theory had no probabilistic qualifications to its laws.
The Causal Markov Condition never entails probabilistic dependence.
Arló-Costa (2001) presents a probabilistic model that validates the (EI) axiom.
For Bayesians, the most important standards of probabilistic coherence are the laws of probability.
The counterpart condition for the so-called relevance notion of probabilistic confirmation is the following:
This article traces developments in probabilistic causation, including recent developments in causal modeling.
In the same paper, a coherent package of rules is described which includes a probabilistic version of abduction.
Is Cartwright’s observation cause for pessimism about the program of analyzing causation and causal relevance in probabilistic terms?
By now there is a wide variety of updating policies on plausibility models (van Benthem & Smets 2015), not all of which have obvious probabilistic counterparts.
That entry contains in addition some discussion of the connection between probabilistic causal models and earlier probabilistic theories of causation.
Statistical mechanics was the first foundational physical theory in which probabilistic concepts and probabilistic explanation played a fundamental role.
In this subsection we will have a closer look at a particular first-order probability logic, whose language is as simple as possible, in order to focus on the probabilistic quantifiers.
The idea is that probabilistic correlations that are not the result of one event causing another are ultimately derived from probabilistic correlations that do result from a causal relationship.
The models of the logic can have probabilistic aspects, the notion of consequence can have a probabilistic flavor, or the language of the logic can contain probabilistic operators.
Indeed, algorithms for inferring causal structure from relations of conditional probabilistic dependence and independence, such as the PC algorithm of Spirtes et al. (2000), proceed by searching for this type of probabilistic signature.
We conclude that, even apart from general doubts about a probabilistic account of causation, the resort to a probabilistic conception of time machines is a desperate stretch, at least in the context of classical general relativity theory.
We have already noted that some proposals have been made that seek for the grounding of the very probabilistic nature of statistical mechanics in the fundamentally probabilistic nature of quantum mechanics at the dynamical level, or, rather, in some interpretation of how probability functions in the roots of quantum mechanics.
- of or relating to the Roman Catholic philosophy of probabilism
- of or relating to or based on probability
Example: probabilistic quantum theory
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We have already noted that some proposals have been made that seek for the grounding of the very probabilistic nature of statistical mechanics in the fundamentally probabilistic nature of quantum mechanics at the dynamical level or rather in some interpretation of how probability functions in the roots of quantum mechanics