Abductive Inference Models for Diagnostic Problem-solving 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Peng, Yun/ Reggia, James A. 作者

Springer Verlag

译者

1990-6 出版日期

294 页数

$ 157.07 价格

HRD

丛书系列

9780387973432 图书编码

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Abductive Inference Models for Diagnostic Problem-solving 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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This book is about reasoning with causal associations during diagnostic problem-solving. It formalizes several currently vague notions of abductive inference in the context of diagnosis. The result is a mathematical model of diagnostic reasoning called parsimonious covering theory. Within this diagnostic, problems and important relevant concepts are formally defined, properties of diagnostic problem-solving are identified and analyzed, and algorithms for finding plausible explanations in different situations are given along with proofs of their correctness. Another feature of this book is the integration of parsimonious covering theory and probability theory. Based on underlying cause-effect relations, the resulting probabilistic causal model generalized Bayesian classification to diagnostic problems where multiple disorders (faults) may occur simultaneously. Both sequential best-first search algorithms and parallel connectionist (neural network) algorithms for finding the most probable hypothesis are provided. This book should appeal to both theoretical researchers and practitioners. For researchers in artificial intelligence and cognitive science, it provides a coherent presentation of a new theory of diagnostic inference. For engineers and developers of automated diagnostic systems or systems solving other abductive tasks, the book may provide useful insights, guidance, or even directly workable algorithms.

Abductive Inference Models for Diagnostic Problem-solving 在线电子书下载 mobi epub pdf txt 在线电子书下载

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