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Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning)
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简体网页||繁体网页
Janet Kolodner 作者
Morgan Kaufmann
译者
1993-09-01 出版日期
0 页数
USD 79.95 价格
Paperback
丛书系列
9781558602373 图书编码

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Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 著者简介

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 图书目录

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在线电子书 图书描述

Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions when inferences can't be made.</p>

This book presents the state of the art in case-based reasoning. The author synthesizes and analyzes a broad range of approaches, with special emphasis on applying case-based reasoning to complex real-world problem-solving tasks such as medical diagnosis, design, conflict resolution, and planning. The author's approach combines cognitive science and engineering, and is based on analysis of both expert and common-sense tasks. Guidelines for building case-based expert systems are provided, such as how to represent knowledge in cases, how to index cases for accessibility, how to implement retrieval processes for efficiency, and how to adapt old solutions to fit new situations. </p>

This book is an excellent text for courses and tutorials on case-based reasoning. It is also a useful resource for computer professionals and cognitive scientists interested in learning more about this fast-growing field.</p>

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