44 ideas
13047 | It is knowing 'why' that gives scientific understanding, not knowing 'that' [Salmon] |
13065 | Understanding is an extremely vague concept [Salmon] |
13054 | Correlations can provide predictions, but only causes can give explanations [Salmon] |
22189 | Why abandon a theory if you don't have a better one? [Gorham] |
22190 | If a theory is more informative it is less probable [Gorham] |
22192 | Is Newton simpler with universal simultaneity, or Einstein simpler without absolute time? [Gorham] |
22194 | Structural Realism says mathematical structures persist after theory rejection [Gorham] |
22195 | Structural Realists must show the mathematics is both crucial and separate [Gorham] |
13067 | For the instrumentalists there are no scientific explanations [Salmon] |
22196 | For most scientists their concepts are not just useful, but are meant to be true and accurate [Gorham] |
22197 | Theories aren't just for organising present experience if they concern the past or future [Gorham] |
13055 | Good induction needs 'total evidence' - the absence at the time of any undermining evidence [Salmon] |
13046 | Scientific explanation is not reducing the unfamiliar to the familiar [Salmon] |
13058 | Why-questions can seek evidence as well as explanation [Salmon] |
14366 | An explanation is a table of statistical information [Salmon, by Strevens] |
13050 | The 'inferential' conception is that all scientific explanations are arguments [Salmon] |
13059 | Ontic explanations can be facts, or reports of facts [Salmon] |
13064 | The three basic conceptions of scientific explanation are modal, epistemic, and ontic [Salmon] |
22193 | Consilience makes the component sciences more likely [Gorham] |
13049 | We must distinguish true laws because they (unlike accidental generalizations) explain things [Salmon] |
13051 | Deductive-nomological explanations will predict, and their predictions will explain [Salmon] |
13053 | A law is not enough for explanation - we need information about what makes a difference [Salmon] |
13061 | Flagpoles explain shadows, and not vice versa, because of temporal ordering [Salmon] |
17093 | Causation produces productive mechanisms; to understand the world, understand these mechanisms [Salmon] |
17492 | Salmon's interaction mechanisms needn't be regular, or involving any systems [Glennan on Salmon] |
13045 | Explanation at the quantum level will probably be by entirely new mechanisms [Salmon] |
13062 | Does an item have a function the first time it occurs? [Salmon] |
13063 | Explanations reveal the mechanisms which produce the facts [Salmon] |
16557 | Salmon's mechanisms are processes and interactions, involving marks, or conserved quantities [Salmon, by Machamer/Darden/Craver] |
13060 | Can events whose probabilities are low be explained? [Salmon] |
13056 | Statistical explanation needs relevance, not high probability [Salmon] |
13057 | Think of probabilities in terms of propensities rather than frequencies [Salmon] |
5673 | If we have a pain, we are strongly aware of the bodily self [Cassam] |
5670 | Knowledge of thoughts covers both their existence and their contents [Cassam] |
5671 | Outer senses are as important as introspection in the acquisition of self-knowledge [Cassam] |
5672 | Is there a mode of self-awareness that isn't perception, and could it give self-knowledge? [Cassam] |
5675 | Neither self-consciousness nor self-reference require self-knowledge [Cassam] |
5674 | We can't introspect ourselves as objects, because that would involve possible error [Cassam] |
22198 | Aristotelian physics has circular celestial motion and linear earthly motion [Gorham] |
8412 | A causal interaction is when two processes intersect, and correlated modifications persist afterwards [Salmon] |
8413 | Cause must come first in propagations of causal interactions, but interactions are simultaneous [Salmon] |
8411 | Instead of localised events, I take enduring and extended processes as basic to causation [Salmon] |
4784 | Salmon says processes rather than events should be basic in a theory of physical causation [Salmon, by Psillos] |
8409 | Probabilistic causal concepts are widely used in everyday life and in science [Salmon] |