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Single Idea 8411

[filed under theme 26. Natural Theory / C. Causation / 8. Particular Causation / b. Causal relata ]

Full Idea

I propose to approach causality by taking processes rather than events as basic entities. Events are relatively localised in space and time, while processes have much greater temporal duration, and, in many cases, much greater spatial extent.

Gist of Idea

Instead of localised events, I take enduring and extended processes as basic to causation

Source

Wesley Salmon (Causality: Production and Propagation [1980], §2)

Book Ref

'Causation', ed/tr. Sosa,E. /Tooley,M. [OUP 1993], p.155


A Reaction

This strikes me as an incredibly promising proposal, not just in our understanding of causation, but for our general metaphysics and understanding of nature. See Idea 4931, for example. Vague events and processes blend into one another.

Related Idea

Idea 4931 Consciousness is a process (of neural interactions), not a location, thing, property, connectivity, or activity [Edelman/Tononi]


The 29 ideas from Wesley Salmon

Salmon says processes rather than events should be basic in a theory of physical causation [Salmon, by Psillos]
Salmon's mechanisms are processes and interactions, involving marks, or conserved quantities [Salmon, by Machamer/Darden/Craver]
Instead of localised events, I take enduring and extended processes as basic to causation [Salmon]
A causal interaction is when two processes intersect, and correlated modifications persist afterwards [Salmon]
Cause must come first in propagations of causal interactions, but interactions are simultaneous [Salmon]
It is knowing 'why' that gives scientific understanding, not knowing 'that' [Salmon]
Scientific explanation is not reducing the unfamiliar to the familiar [Salmon]
Explanation at the quantum level will probably be by entirely new mechanisms [Salmon]
The 'inferential' conception is that all scientific explanations are arguments [Salmon]
We must distinguish true laws because they (unlike accidental generalizations) explain things [Salmon]
Deductive-nomological explanations will predict, and their predictions will explain [Salmon]
A law is not enough for explanation - we need information about what makes a difference [Salmon]
Correlations can provide predictions, but only causes can give explanations [Salmon]
Good induction needs 'total evidence' - the absence at the time of any undermining evidence [Salmon]
Statistical explanation needs relevance, not high probability [Salmon]
Think of probabilities in terms of propensities rather than frequencies [Salmon]
Why-questions can seek evidence as well as explanation [Salmon]
Ontic explanations can be facts, or reports of facts [Salmon]
Flagpoles explain shadows, and not vice versa, because of temporal ordering [Salmon]
Can events whose probabilities are low be explained? [Salmon]
Does an item have a function the first time it occurs? [Salmon]
Explanations reveal the mechanisms which produce the facts [Salmon]
The three basic conceptions of scientific explanation are modal, epistemic, and ontic [Salmon]
For the instrumentalists there are no scientific explanations [Salmon]
Understanding is an extremely vague concept [Salmon]
Probabilistic causal concepts are widely used in everyday life and in science [Salmon]
Causation produces productive mechanisms; to understand the world, understand these mechanisms [Salmon]
Salmon's interaction mechanisms needn't be regular, or involving any systems [Glennan on Salmon]
An explanation is a table of statistical information [Salmon, by Strevens]