Philosophy Dictionary of ArgumentsHome | |||
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Bayesianism: perceives probability as the degree of a belief. See also subjective probability, objective probability, chance, likelihood._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
Author | Concept | Summary/Quotes | Sources |
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Steven Pinker on Bayesianism - Dictionary of Arguments
I 304/305 Definition Bayes-Formel/Pinker: chances in two competing hypotheses can be calculated using only two numbers 1. Initial probability: how safe is the hypothesis before any data are considered? 2. "likelihood" assumes the hypothesis is true, how likely is it that the evidence we have actually occurs? Then take the initial probabilities for both hypotheses and the likelihood and divide the two numbers. that is the probability of applying the first hypothesis. >Hypothesis, >Likelihood, >Chance, >Probability, >Conditional Probability, >Probability-Conditional, >Subjective Probability, >Probability theory, >Probability distribution._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Pi I St. Pinker How the Mind Works, New York 1997 German Edition: Wie das Denken im Kopf entsteht München 1998 |