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 ...
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