Jon Williamson: In Defence of Objective Bayesianism
نویسندگان
چکیده
منابع مشابه
Jon Williamson Causality
This chapter will focus on the first two questions. The last question is equally important — of course we need to know the best way to make predictions, perform diagnoses and make strategic decisions — but in the absence of a well-entrenched mathematical calculus of causality, the answers given to the last question tend to depend on the answers provided to the first two questions. Standard resp...
متن کاملJon Williamson and David Corfield Introduction: Bayesianism into the 21st Century
Bayesian theory now incorporates a vast body of mathematical, statistical and computational techniques that are widely applied in a panoply of disciplines, from artificial intelligence to zoology. Yet Bayesians rarely agree on the basics, even on the question of what Bayesianism actually is. This book is about the basics — about the opportunities, questions and problems that face Bayesianism to...
متن کاملJon Williamson Foundations for Bayesian Networks
Bayesian networks are normally given one of two types of foundations: they are either treated purely formally as an abstract way of representing probability functions , or they are interpreted, with some causal interpretation given to the graph in a network and some standard interpretation of probability given to the probabilities specified in the network. In this chapter I argue that current f...
متن کاملJon Williamson Causality and probability in the sciences
Causality and probability in the sciences Towards the end of the nineteenth century Karl Pearson noted that a prob-abilistic dependence between two variables does not necessarily imply that the two variables are causally connected (Pearson, 1897). This led Pearson, in the third (1911) edition of his book Pearson (1892), to argue that talk of cause and effect should be eradicated from science in...
متن کاملJon Williamson Draft of August 5 , 2005 Combining
There is a clear connection between probability and logic: both appear to tell us how we should reason. But how, exactly, are the two concepts related? The need for a coherent answer to this question has become increasingly urgent in the past few years, particularly in the field of artificial intelligence. There, both logical and probabilistic techniques are routinely applied in an attempt to s...
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ژورنال
عنوان ژورنال: Minds and Machines
سال: 2012
ISSN: 0924-6495,1572-8641
DOI: 10.1007/s11023-012-9293-z