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 1

UNCERTAINTY IN AI SYSTEMS

AN OVERVIEW

Publisher Summary

This chapter highlights the basic AI paradigms of dealing with uncertainty and describes the unique qualitative features that make probability theory a loyal guardian of plausible reasoning. AI researchers tackling the problems of uncertainty in AI can be classified into three formal schools: (1) logicist, (2) neo-calculist, and (3) neo-probabilist. The logicist school attempts to deal with uncertainty using nonnumerical techniques, primarily, nonmonotonic logic. The neo-calculist school uses numerical representations of uncertainty but regards probability calculus as inadequate for the task and, thus, invents entirely new calculi such as the Dempster–Shafer calculus, fuzzy ...

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