Description: Towards Explainable Fuzzy Ai : Concepts, Paradigms, Tools, and Techniques, Hardcover by Kreinovich, Vladik, ISBN 3031099737, ISBN-13 9783031099731, Brand New, Free shipping in the US Modern AI techniques –- especially deep learning –- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good. It is therefore desirable to provide natural-language explanation of the numerical AI recommendations. The need to connect natural language rules and numerical decisions is known since 1960s, when the need emerged to incorporate expert knowledge -- described by imprecise words like "small" -- into control and decision making. For this incorporation, a special "fuzzy" technique was invented, that led to many successful applications. This book described how this technique can help to make AI more can be recommended for students, researchers, and practitioners interested in explainable AI.
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Book Title: Towards Explainable Fuzzy Ai : Concepts, Paradigms, Tools, and Te
Number of Pages: X, 130 Pages
Language: English
Publication Name: Towards Explainable Fuzzy Ai: concepts, Paradigms, Tools, and Techniques
Publisher: Springer International Publishing A&G
Publication Year: 2022
Subject: Engineering (General), Intelligence (Ai) & Semantics, General, Data Processing
Type: Textbook
Item Weight: 13.5 Oz
Author: Vladik Kreinovich
Subject Area: Computers, Technology & Engineering, Science
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover
