Artificial Intelligence Theory Models (100 results)

Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
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Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Softcover
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Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
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Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Softcover
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Softcover
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Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Softcover
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Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Softcover
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Language: English
Published by Springer, 2023
Series: Book 12 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Paperback. Condition: New. This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills.FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI's role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable resultsABOUT THE EDITORS:Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.…

- Softcover
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Paperback. Condition: Brand New. 506 pages. 9.18x6.12x9.21 inches. In Stock.

Language: English
Published by Independently published, 2025
Series: Book 2 of 2 - Principles of Explainable Artificial Intelligence
- Softcover
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- Softcover
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- Hardcover
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Condition: New. pp. 184 1st Edition.
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Taschenbuch. Condition: Neu. Artificial Intelligence Theory, Models, and Applications | P. Kaliraj (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Auerbach Publications | EAN 9781032106137 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu. …

- Hardcover
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- Hardcover
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- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This original and timely monograph describes a unique self-contained excursion that reveals to the readers the roles of two basic cognitive abilities, i.e. intention recognition and arranging commitments, in the evolution of cooperative behavior. This book analyses intention recognition, an important ability that helps agents predict others' behavior, in its artificial intelligence and evolutionary computational modeling aspects, and proposes a novel intention recognition method. Furthermore, the book presents a new framework for intention-based decision making and illustrates several ways in which an ability to recognize intentions of others can enhance a decision making process. By employing the new intention recognition method and the tools of evolutionary game theory, this book introduces computational models demonstrating that intention recognition promotes the emergence of cooperation within populations of self-regarding agents. Finally, the book describes how commitment provides a pathway to the evolution of cooperative behavior, and how it further empowers intention recognition, thereby leading to a combined improved strategy.…