Probabilistic Arguments
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Home > Art, Film & Photography > Probabilistic Arguments: Doomsday Argument, Identical Particles, Method of Conditional Probabilities, Probabilistic Argumentation, Probabilisti
Probabilistic Arguments: Doomsday Argument, Identical Particles, Method of Conditional Probabilities, Probabilistic Argumentation, Probabilisti

Probabilistic Arguments: Doomsday Argument, Identical Particles, Method of Conditional Probabilities, Probabilistic Argumentation, Probabilisti


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About the Book

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 24. Chapters: Doomsday argument, Identical particles, Method of conditional probabilities, Probabilistic argumentation, Probabilistic causation, Probabilistic logic, Probabilistic logic network, Probabilistic method, Probabilistic proofs of non-probabilistic theorems, Randomized rounding, Self-Indication Assumption Doomsday argument rebuttal, Self-referencing doomsday argument rebuttal. Excerpt: The Doomsday argument (DA) is a probabilistic argument that claims to predict the number of future members of the human species given only an estimate of the total number of humans born so far. Simply put, it says that supposing the humans alive today are in a random place in the whole human history timeline, chances are we are about halfway through it. It was first proposed in an explicit way by the astrophysicist Brandon Carter in 1983, from which it is sometimes called the Carter catastrophe; the argument was subsequently championed by the philosopher John A. Leslie and has since been independently discovered by J. Richard Gott and Holger Bech Nielsen. Similar principles of eschatology were proposed earlier by Heinz von Foerster, among others. Denoting by N the total number of humans who were ever or will ever be born, the Copernican principle suggests that humans are equally likely (along with the other N 1 humans) to find themselves at any position of total population n, so humans assume that our fractional position f = n/N is uniformly distributed on the interval prior to learning our absolute position. f is uniformly distributed on (0, 1] even after learning of the absolute position n. That is, for example, there is 95% chance that f is in the interval (0.05, 1], that is f > 0.05. In other words we could assume that we could be 95% certain that we would be within the last 95% of all the humans ever to be born. If we know our...


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Product Details
  • ISBN-13: 9781230831633
  • Publisher: Booksllc.Net
  • Publisher Imprint: Booksllc.Net
  • Height: 246 mm
  • No of Pages: 26
  • Spine Width: 1 mm
  • Weight: 68 gr
  • ISBN-10: 1230831630
  • Publisher Date: 13 Sep 2013
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Doomsday Argument, Identical Particles, Method of Conditional Probabilities, Probabilistic Argumentation, Probabilisti
  • Width: 189 mm


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