ISBN : 9781800618626
Author : Lawry Jonathan
Publisher : World Science
Year : 2026
Language : English
Type : Book
Description : Uncertainty in AI explores different theories of uncertainty as studied in the context of artificial intelligence. By adopting a common representation framework based on sets of possible worlds, it explores the relationships between different theories of uncertainty, taking note of the different properties that they satisfy, their expressiveness, and their computational complexity. It distinguishes between uncertainty about the true state of the world, ignorance about the correct level of uncertainty, and fuzziness in the propositions being evaluated. Concepts are introduced using simple illustrative examples, prioritising intuitive understanding before reviewing key mathematical results. This makes it ideal for undergraduate students wanting a sense of the strengths and weaknesses of different uncertainty formalisms, providing them with sufficient technical detail to begin to apply them in practice while requiring only foundation level mathematics — as taught in the first year of most science and engineering undergraduate programmes.