Interpretable artificial intelligence : a perspective of granular computing /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2021]
Description:1 online resource (viii, 429 pages) : illustrations (some color).
Language:English
Series:Studies in computational intelligence, 1860-949X ; volume 937
Studies in computational intelligence ; v. 937.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12611717
Hidden Bibliographic Details
Other authors / contributors:Pedrycz, Witold, 1953- editor.
Chen, Shyi-Ming, editor.
ISBN:9783030649494
3030649490
3030649482
9783030649487
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed April 1, 2021).
Summary:This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) - Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.
Other form:Print version: 9783030649487
Standard no.:10.1007/978-3-030-64949-4