Download Abductive Inference Models for Diagnostic Problem-Solving by Yun Peng PDF

By Yun Peng

ISBN-10: 1441986820

ISBN-13: 9781441986825

ISBN-10: 1461264502

ISBN-13: 9781461264507

Making a prognosis while whatever is going unsuitable with a ordinary or m- made procedure should be tough. in lots of fields, resembling drugs or electr- ics, an extended education interval and apprenticeship are required to develop into a talented diagnostician. in this time a beginner diagnostician is requested to assimilate a large number of wisdom in regards to the category of structures to be clinically determined. against this, the beginner just isn't taught find out how to cause with this information in arriving at a end or a prognosis, other than possibly implicitly via ease examples. this could appear to point out that a number of the crucial features of diagnostic reasoning are one of those intuiti- dependent, logic reasoning. extra accurately, diagnostic reasoning may be categorised as a kind of inf- ence referred to as abductive reasoning or abduction. Abduction is outlined to be a means of producing a believable reason for a given set of obs- vations or proof. even supposing pointed out in Aristotle's paintings, the learn of f- mal facets of abduction didn't quite commence until eventually a couple of century ago.

Show description

Read or Download Abductive Inference Models for Diagnostic Problem-Solving PDF

Similar intelligence & semantics books

Rough Sets and Intelligent Systems - Professor Zdzislaw Pawlak in Memoriam: Volume 1

This publication is devoted to the reminiscence of Professor Zdzis{\l}aw Pawlak who passed on to the great beyond nearly six yr in the past. he's the founding father of the Polish college of man-made Intelligence and one of many pioneers in computing device Engineering and computing device technological know-how with all over the world effect. He was once a very nice scientist, researcher, instructor and a man or woman.

Neural Networks and Learning Machines

For graduate-level neural community classes provided within the departments of machine Engineering, electric Engineering, and computing device technological know-how.   Neural Networks and studying Machines, 3rd version is well known for its thoroughness and clarity. This well-organized and entirely up to date textual content is still the main entire therapy of neural networks from an engineering viewpoint.

Principles of Artificial Intelligence

A vintage advent to man made intelligence meant to bridge the space among conception and perform, rules of synthetic Intelligence describes primary AI principles that underlie functions corresponding to normal language processing, automated programming, robotics, laptop imaginative and prescient, automated theorem proving, and clever information retrieval.

Extra resources for Abductive Inference Models for Diagnostic Problem-Solving

Example text

Thus, to justify the disorder Ototoxicity Secondary to Quinine < h > , in the second competing group, the system gives the following message: 46 Computational Models for Diagnostic Problem Solving For Ototoxicity Secondary to Quinine, factors which favor this disorder include the following: Large Amounts of Quinine. This disorder is more likely to cause the following present manifestations than some of its competitors: Impaired Hearing. For disorders of intermediate likelihood < m > , such as Otosclerosis in the second group, factors that favor as well as are against (expected but absent manifestations) are listed as the justification of their ranking.

They are called manifestations in parsimonious covering theory and denoted by the set M. , mj. Some other entities, such as "battery is dead" and "fuel line is blocked", can be considered as causes of manifestations. They are called disordem, denoted by the set D, and their presence must be inferred. , di. Manifestations and disorders are connected through causal associations to form a causal network, representing domain-specific knowledge. 2 below. For a more complete car troubleshooting knowledge base, there would be many more manifestations and disorders, and they would be interrelated in a much more complicated way.

1). Disorders, indicated by nodes in set D, are causally related to intermediate pathological states (set S), and ultimately to measurable manifestations (set M).

Download PDF sample

Abductive Inference Models for Diagnostic Problem-Solving by Yun Peng


by Edward
4.5

Rated 4.19 of 5 – based on 25 votes