[PDF] Encyclopedia Of Artificial Intelligence eBook

Author : Philip L. Frana
Publisher : Bloomsbury Publishing USA
Page : 506 pages
File Size : 35,51 MB
Release : 2021-04-07
Category : Technology & Engineering
ISBN :

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This authoritative reference work will provide readers with a complete overview of artificial intelligence (AI), including its historic development and current status, existing and projected AI applications, and present and potential future impact on the United States and the world. Some people believe that artificial intelligence (AI) will revolutionize modern life in ways that improve human existence. Others say that the promise of AI is overblown. Still others contend that AI applications could pose a grave threat to the economic security of millions of people by taking their jobs and otherwise rendering them "obsolete"-or, even worse, that AI could actually spell the end of the human race. This volume will help users understand the reasons AI development has both spirited defenders and alarmed critics; explain theories and innovations like Moore's Law, mindcloning, and Technological Singularity that drive AI research and debate; and give readers the information they need to make their own informed judgment about the promise and peril of this technology. All of this coverage is presented using language and terminology accessible to a lay audience.

Author : Juan Ramon Rabunal
Publisher : IGI Global
Page : 1640 pages
File Size : 42,88 MB
Release : 2009-01-01
Category : Computers
ISBN : 1599048507

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"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

Author : Claude Sammut
Publisher : Springer Science & Business Media
Page : 1061 pages
File Size : 37,13 MB
Release : 2011-03-28
Category : Computers
ISBN : 0387307680

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This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

Author : Stuart C. Shapiro
Publisher : Wiley
Page : 1248 pages
File Size : 19,40 MB
Release : 1990-01-16
Category : Computers
ISBN : 9780471520795

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Originally published in June 1987 in hardback, this major work is now available to a wider audience as a paperback. Again published as a two volume set, the paper edition represents a unique contribution to this multidisciplinary science. Bringing together peer reviewed contributions from more than 200 experts working under a distinguished board, it is comprehensive, and cross referenced to give easy access to every facet of AI. With more than 450 illustrations and tables, this paperback edition brings the text within the reach of a new generation of students, lecturers, researchers and practitioners alike.

Author : Wang, John
Publisher : IGI Global
Page : 3296 pages
File Size : 18,29 MB
Release : 2023-01-20
Category : Computers
ISBN : 1799892212

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Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Author : Joost Nico Kok
Publisher : EOLSS Publications
Page : 418 pages
File Size : 12,35 MB
Release : 2009-12-20
Category : Artificial intelligence
ISBN : 184826125X

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Artificial Intelligence is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty Encyclopedias. The Theme on Artificial Intelligence provides the essential aspects and fundamentals of Artificial Intelligence: Definition, Trends, Techniques, and Cases; Logic in Artificial Intelligence (AI); Computational Intelligence; Knowledge Based System Development Tools. It is aimed at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers.

Author : Stuart C. Shapiro
Publisher : Wiley
Page : 840 pages
File Size : 17,55 MB
Release : 1992-01-31
Category : Computers
ISBN : 9780471503071

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Written by 350 specialists in academia, industry and government and covering all fields encompassed by artificial intelligence, this encyclopaedia has been updated and expanded to include developments in the fields of neural networks, fuzzy logic, vision and languages.