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Books on the topic 'The concept of Artificial Intelligence (AI)'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Grebenyuk, Elena, Darya Danielyan, Sarkis Danielyan, and Sergey Kramarov. Artificial Intelligence in Education: Opportunities, Methods, and Recommendations for Educators. Publishing Center RIOR, 2024. http://dx.doi.org/10.29039/02147-7.

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The training and practical manual covers the main concepts and methods of utilizing artificial intelligence (AI) technologies in educational activities. The primary goal of this work is to provide educators in educational institutions with knowledge about the possibilities of applying AI in teaching, as well as practical recommendations for integrating these technologies into classroom activities. The publication is designed to develop educators' competencies in the field of artificial intelligence to enhance the quality of teaching and student performance. The book describes the use of AI to

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2

Alareeni, Bahaaeddin A. M., and Islam Elgedawy, eds. Artificial Intelligence (AI) and Finance. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39158-3.

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3

Winston, Patrick Henry. Artificial intelligence. 3rd ed. Addison-Wesley, 1993.

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4

Long, Guodong, Xinghuo Yu, and Sen Wang, eds. AI 2021: Advances in Artificial Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97546-3.

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5

Nicholson, Ann, and Xiaodong Li, eds. AI 2009: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10439-8.

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6

Peng, Wei, Damminda Alahakoon, and Xiaodong Li, eds. AI 2017: Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63004-5.

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7

Orgun, Mehmet A., and John Thornton, eds. AI 2007: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76928-6.

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8

Wobcke, Wayne, and Mengjie Zhang, eds. AI 2008: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89378-3.

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9

Thielscher, Michael, and Dongmo Zhang, eds. AI 2012: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35101-3.

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10

McKay, Bob, and John Slaney, eds. AI 2002: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36187-1.

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11

Pfahringer, Bernhard, and Jochen Renz, eds. AI 2015: Advances in Artificial Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26350-2.

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12

Sattar, Abdul, and Byeong-ho Kang, eds. AI 2006: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11941439.

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13

Cranefield, Stephen, and Abhaya Nayak, eds. AI 2013: Advances in Artificial Intelligence. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03680-9.

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14

Kang, Byeong Ho, and Quan Bai, eds. AI 2016: Advances in Artificial Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50127-7.

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15

Liu, Jixue, and James Bailey, eds. AI 2019: Advances in Artificial Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35288-2.

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16

Li, Jiuyong, ed. AI 2010: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17432-2.

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17

Stumptner, Markus, Dan Corbett, and Mike Brooks, eds. AI 2001: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45656-2.

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18

Zhang, Shichao, and Ray Jarvis, eds. AI 2005: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11589990.

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19

Wang, Dianhui, and Mark Reynolds, eds. AI 2011: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25832-9.

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20

Mitrovic, Tanja, Bing Xue, and Xiaodong Li, eds. AI 2018: Advances in Artificial Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03991-2.

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21

Gallagher, Marcus, Nour Moustafa, and Erandi Lakshika, eds. AI 2020: Advances in Artificial Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64984-5.

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22

Webb, Geoffrey I., and Xinghuo Yu, eds. AI 2004: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b104336.

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23

Gedeon, Tamás (Tom) Domonkos, and Lance Chun Che Fung, eds. AI 2003: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b94701.

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24

Aziz, Haris, Débora Corrêa, and Tim French, eds. AI 2022: Advances in Artificial Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-22695-3.

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25

Liu, Tongliang, Geoff Webb, Lin Yue, and Dadong Wang, eds. AI 2023: Advances in Artificial Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8391-9.

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26

Liu, Tongliang, Geoff Webb, Lin Yue, and Dadong Wang, eds. AI 2023: Advances in Artificial Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8388-9.

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27

Gong, Mingming, Yiliao Song, Yun Sing Koh, Wei Xiang, and Derui Wang, eds. AI 2024: Advances in Artificial Intelligence. Springer Nature Singapore, 2025. http://dx.doi.org/10.1007/978-981-96-0348-0.

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28

Gong, Mingming, Yiliao Song, Yun Sing Koh, Wei Xiang, and Derui Wang, eds. AI 2024: Advances in Artificial Intelligence. Springer Nature Singapore, 2025. http://dx.doi.org/10.1007/978-981-96-0351-0.

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29

Odincov, Boris. Models and intelligent systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used.  The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discuss

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30

Ghidini, Chiara, Bernardo Magnini, Andrea Passerini, and Paolo Traverso, eds. AI*IA 2018 – Advances in Artificial Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03840-3.

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31

Mohan Kumar, Dr S. Artificial Intelligence: Foundations, Applications, and the Generative Future. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2025. https://doi.org/10.47716/978-93-92090-63-9.

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Artificial Intelligence (AI) is no longer confined to laboratories and theoretical models; it is now a driving force behind the digital transformation of society. Artificial Intelligence: Foundations, Applications, and the Generative Future provides an in-depth journey through AI’s essential principles, its wide-ranging applications, and the revolutionary impact of generative technologies. The book methodically builds knowledge from classical AI concepts like intelligent agents, search strategies, and knowledge representation, to advanced learning models including neural networks and machine l

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32

Khan, Rijwan, Pawan Kumar Sharma, Sugam Sharma, and Santosh Kumar, eds. Artificial Intelligence and Natural Algorithms. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150360911220101.

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This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science. The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis. The contents include algorithms that can be used in systems designed for plant science research, lo

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33

Peng, Shin-yi, Ching-Fu Lin, and Thomas Streinz, eds. Artificial Intelligence and International Economic Law. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108954006.

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Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contribut

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34

Smith, Patrick D. Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation. Packt Publishing, 2018.

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35

Giridhar, Hansa. AI for Kids: A first look into the fascinating concept of Artificial Intelligence that is disrupting the world. Independently published, 2019.

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36

Asirvadam, Vijanth Sagayan, R. Lakshmana Kumar, R. Indrakumari, and B. Balusamy. Convergence of Blockchain, AI, and IoT: Concepts and Challenges. Taylor & Francis Group, 2022.

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37

Asirvadam, Vijanth Sagayan, R. Lakshmana Kumar, R. Indrakumari, and B. Balusamy. Convergence of Blockchain, AI, and IoT: Concepts and Challenges. Taylor & Francis Group, 2022.

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38

Balusamy, Balamurugan, Vijanth Sagayan Asirvadam, R. Lakshmana Kumar, and R. Indrakumari. Convergence of Blockchain, AI, and IoT: Concepts and Challenges. CRC Press LLC, 2022.

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39

Convergence of Blockchain, AI, and IoT: Concepts and Challenges. Taylor & Francis Group, 2022.

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40

Zero to Mastery in Artificial Intelligence- No. 1 Artificial Intelligence Book to Become Zero to Hero in Ai, This Amazing A. I Book Covers a-Z Artificial Intelligence Concepts, 2022 Latest Edition. Independently Published, 2022.

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41

Burgess, Paul. AI and the Rule of Law. Hart Publishing, 2024. http://dx.doi.org/10.5040/9781509963201.

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This book considers the ways in which the concept of the Rule of Law will need to evolve in order to ensure that the exercise of power by Artificial Intelligence (AI) does not become arbitrary and does not proceed unchecked. It presents the Rule of Law and its impact on the past and the present; it considers what AI is, what it does, and what it might become in future; and it looks at how AI will need to be harnessed to allow power to be exercised more effectively in the future. The book argues that the Rule of Law has for centuries been the concept that protects against the arbitrary exercise

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42

Kay, Firth-Butterfield, Brent Richard, and Grant Tom. Part VIII The Future of the International Law of Tainted Money, 24 Virtual Currencies, Artificial Intelligence, and Emerging Legal Questions. Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780198716587.003.0024.

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This chapter provides a background to technologies such as the distributed ledger (e.g., blockchain) that underlie virtual currencies such as Bitcoin. It also considers the concept-or range of concepts-that the expression ‘Artificial Intelligence’ (AI) denotes. The chapter then presents an overview of legislation and regulation adopted to date as relevant to virtual currencies in the UK, EU, and U.S. and of policy statements suggesting the near-term course that legislation might take. Turning to private law, the chapter considers issues that Bitcoin raises in relation to private law claims. Fi

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43

Boden, Margaret A. 2. General intelligence as the Holy Grail. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0002.

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A host of state-of-the-art AI applications exist, designed for countless specific tasks and used in almost every area of life, by laymen and professionals alike. Many outperform even the most expert humans. In that sense, progress has been spectacular. But the AI pioneers were also hoping for systems with general intelligence. ‘General intelligence as the Holy Grail’ explains why artificial general intelligence is still highly elusive despite recent increases in computer power. It considers the general AI strategies in recent research—heuristics, planning, mathematical simplification, and diff

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44

Bhushan, Megha, Sailesh Iyer, Ashok Kumar, Tanupriya Choudhury, and Arun Negi, eds. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150492511220101.

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Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due to advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart sol

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45

Weber, Hans. Artificial Intelligence and Life: A Complete Guide to the Basic Concepts in AI, Neural Networks, Machine Learning and Data Science. Independently Published, 2019.

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46

Verdegem, Pieter, ed. AI for Everyone? Critical Perspectives. University of Westminster Press, 2021. http://dx.doi.org/10.16997/book55.

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We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for ev

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47

Suguna, S. Kanimozhi. Artificial Intelligence (ai). Taylor & Francis Group, 2021.

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48

Hongladarom, Soraj. Ethics of AI and Robotics. Lexington Books, 2020. https://doi.org/10.5040/9781978735101.

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Artificial intelligence is the most discussed and arguably the most powerful technology in the world today. The very rapid development of the technology, and its power to change the world, and perhaps even ourselves, calls for a serious and systematic thinking about its ethical and social implications, as well as how its development should be directed. The present book offers a new perspective on how such a direction should take place, based on insights obtained from the age-old tradition of Buddhist teaching. The book argues that any kind of ethical guidelines for AI and robotics must combine

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49

Hardgrove, Leora. Artificial Intelligence Book : Learning Artificial Intelligence with Python: Ai Artificial Intelligence. Independently Published, 2021.

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50

Nah, Seungahn, Jasmine E. McNealy, Jang Hyun Kim, and Jungseock Joo, eds. Communicating Artificial Intelligence (AI). Routledge, 2020. http://dx.doi.org/10.4324/9781003133735.

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