O'Reilly logo

Probabilistic Reasoning in Intelligent Systems by Judea Pearl

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 2

BAYESIAN INFERENCE

Publisher Summary

This chapter discusses the basic principles of Bayesian inference and some epistemological issues that emerge from this formalism. It highlights some of the difficulties associated with using the logical approach instead of the probabilistic approach. The chapter discusses the difficulties associated with the nonmodularity of plausible inferences, that is, the impropriety of drawing conclusions from certain truths in the database without checking other truths that may reside there. It also discusses the problem of query, sensitivity, which stems not from neglecting facts that were learned but from neglecting to specify the facts that could have been learned. Formalisms that ignore the query ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required