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Single Idea 17492

[filed under theme 14. Science / D. Explanation / 2. Types of Explanation / i. Explanations by mechanism ]

Full Idea

While Salmon's mechanisms are processes involving interactions, the interactions are not necessarily regular, and they do not involve the operation of systems.

Gist of Idea

Salmon's interaction mechanisms needn't be regular, or involving any systems

Source

comment on Wesley Salmon (Scientific Explanation and the Causal Structure of the World [1984]) by Stuart Glennan - Mechanisms 'hierarchical'

Book Ref

'Routledge Companion to Philosophy of Science', ed/tr. Psillos,S/Curd,M [Routledge 2010], p.379


A Reaction

This is why modern mechanistic philosophy only began in 2000, despite Wesley Salmon's championing of the roughly mechanistic approach.


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]