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  2. Causal reasoning - Wikipedia

    en.wikipedia.org/wiki/Causal_reasoning

    The study of causality extends from ancient philosophy to contemporary neuropsychology; assumptions about the nature of causality may be shown to be functions of a previous event preceding a later one. The first known protoscientific study of cause and effect occurred in Aristotle's Physics. [1] Causal inference is an example of causal reasoning.

  3. Potentiality and actuality - Wikipedia

    en.wikipedia.org/wiki/Potentiality_and_actuality

    In philosophy, potentiality and actuality [1] are a pair of closely connected principles which Aristotle used to analyze motion, causality, ethics, and physiology in his Physics, Metaphysics, Nicomachean Ethics, and De Anima. [2] The concept of potentiality, in this context, generally refers to any "possibility" that a thing can be said to have.

  4. Humean definition of causality - Wikipedia

    en.wikipedia.org/wiki/Humean_definition_of_causality

    [2] also fixed eight general rules that can help in recognizing which objects are in cause-effect relation, the main four are as following: (1) The cause and effect must be contiguous in space and time. (2) The cause must be prior to the effect. (3) There must be a constant union betwixt the cause and effect.

  5. Casuistry - Wikipedia

    en.wikipedia.org/wiki/Casuistry

    Le grand docteur sophiste, 1886 illustration of Gargantua by Albert Robida, expressing mockery of his casuist education. Casuistry (/ ˈ k æ zj u ɪ s t r i / KAZ-ew-iss-tree) is a process of reasoning that seeks to resolve moral problems by extracting or extending abstract rules from a particular case, and reapplying those rules to new instances. [1]

  6. Universal causation - Wikipedia

    en.wikipedia.org/wiki/Universal_causation

    John Stuart Mill describes the Law of Universal Causation in following way: . Every phenomenon has a cause, which it invariably follows; and from this are derived other invariable sequences among the successive stages of the same effect, as well as between the effects resulting from causes which invariably succeed one another.

  7. Causal inference - Wikipedia

    en.wikipedia.org/wiki/Causal_inference

    Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed.

  8. Epiphenomenon - Wikipedia

    en.wikipedia.org/wiki/Epiphenomenon

    In the philosophy of causality, an epiphenomenon is any effect of a cause apart from the effect under primary consideration.In situations in which an event of interest E is caused by (or, is said to be caused by) an event C, which also causes (or, is said to cause) an event F, then F is an epiphenomenon.

  9. Causality - Wikipedia

    en.wikipedia.org/wiki/Causality

    Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least partly responsible for the effect, and the effect is at least partly dependent on the cause. [1]