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Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning)
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Janet Kolodner 作者
Morgan Kaufmann
譯者
1993-09-01 出版日期
0 頁數
USD 79.95 價格
Paperback
叢書系列
9781558602373 圖書編碼

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發表於2024-09-07

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 用戶評價

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Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 著者簡介

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 著者簡介

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning) 在線電子書 圖書描述

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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