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Argumentation as a practical foundation for decision theory. Designing expert systems in AI using logical knowledge and statistical data

Код 923106

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Аннотация к книге "Argumentation as a practical foundation for decision theory. Designing expert systems in AI using logical knowledge and statistical data"

This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as "imprecise probabilities". Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6392-9030-1
Объём: 276 страниц
Масса: 442 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 2

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