Combining Texts

All the ideas for 'Phenomenalism', 'Lewis on Perdurance versus Endurance' and 'Bayesianism'

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5 ideas

7. Existence / B. Change in Existence / 1. Nature of Change
Maybe particles are unchanging, and intrinsic change in things is their rearrangement [Lowe, by Lewis]
     Full Idea: Lowe's solution the 'temporary intrinsics' problem is that particles have no temporary intrinsic properties; they may be safely supposed to endure, and large things consist of those enduring particles, undergoing rearrangement but no intrinsic change.
     From: report of E.J. Lowe (Lewis on Perdurance versus Endurance [1987]) by David Lewis - Rearrangement of Particles II
     A reaction: A mere rearrangement of particles doesn't sound the same as a change in properties, which must involve causal powers in some way.
11. Knowledge Aims / C. Knowing Reality / 2. Phenomenalism
Modern phenomenalism holds that objects are logical constructions out of sense-data [Ayer]
     Full Idea: Nowadays phenomenalism is held to be a theory of perception which says that physical objects are logical constructions out of sense-data.
     From: A.J. Ayer (Phenomenalism [1947], §1)
12. Knowledge Sources / B. Perception / 4. Sense Data / a. Sense-data theory
The concept of sense-data allows us to discuss appearances without worrying about reality [Ayer]
     Full Idea: The introduction of the term 'sense-datum' is a means of referring to appearances without prejudging the question of what it is, if anything, that they are appearances of.
     From: A.J. Ayer (Phenomenalism [1947], §1)
14. Science / C. Induction / 6. Bayes's Theorem
Probability of H, given evidence E, is prob(H) x prob(E given H) / prob(E) [Horwich]
     Full Idea: Bayesianism says ideally rational people should have degrees of belief (not all-or-nothing beliefs), corresponding with probability theory. Probability of H, given evidence E, is prob(H) X prob(E given H) / prob(E).
     From: Paul Horwich (Bayesianism [1992], p.41)
Bayes' theorem explains why very surprising predictions have a higher value as evidence [Horwich]
     Full Idea: Bayesianism can explain the fact that in science surprising predictions have greater evidential value, as the equation produces a higher degree of confirmation.
     From: Paul Horwich (Bayesianism [1992], p.42)