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Bayesian Rationality: The Probabilistic Approach to Human Reasoning (Oxford Cognitive Science Series) 1st Edition

by Mike Oaksford (Author), Nick Chater (Author)
3.0 out of 5 stars 1 customer review
ISBN-13: 978-0198524496
ISBN-10: 0198524498
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Product Details

  • Series: Oxford Cognitive Science Series
  • Paperback: 342 pages
  • Publisher: Oxford University Press; 1 edition (May 3, 2007)
  • Language: English
  • ISBN-10: 0198524498
  • ISBN-13: 978-0198524496
  • Product Dimensions: 9.2 x 0.9 x 6.1 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,866,217 in Books (See Top 100 in Books)

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3.0 out of 5 starsBayesianism is not the whole picture
By Bruce Caithness on January 5, 2013
Format: Paperback Verified Purchase
"Bayesian Rationality: the probabilistic approach to human reasoning" (2007) is a well laid out book, carefully and extensively referenced. This adds to the frustration in that I am left with a sense that Bayesianism, like phenomenology, makes lots of promises that fall short no matter how enthusiastically they are promulgated. Both of these schools, although quite different in type, share the tendency to be somewhat revivalist.

David Deutsch says of Bayesianism that the doctrine assumes that minds work by assigning probabilities to their ideas and modifying those probabilities in the light of experience as a way of choosing how to act. He continues, this is especially perverse when it comes to an Artificial General Intelligence's values -- the moral and aesthetic ideas that inform its choices and intentions -- for it allows only a behaviouristic model of them, in which values that are `rewarded' by `experience' are `reinforced' and come to dominate behaviour while those that are `punished' by `experience' are extinguished. Deutsch argues that behaviourist, input-output model may be appropriate for computer programming other than AGI, but hopeless for AGI. I would also be cautious about the common viewpoint that information evolves from data, an inductive bias.

I suspect that were Chater and Oaksford not so thoroughly imbued with a logical empiricist view of scientific logic they may have tempered the preliminary criticism of deductive logic before building further the rationale for Bayesian cognition. It seems that Bayes' theorem has value as a tool but there are a lot of questions that are still open with respect to Bayesian epistemology. One clear failing by the authors is the superficiality of the referencing to Karl Popper's critical rationalism.Read more ›
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