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Books on the topic 'Intelligence algorithm'

Author: Grafiati

Published: 4 June 2025

Last updated: 6 July 2025

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1

Silhavy, Radek, and Petr Silhavy, eds. Artificial Intelligence Algorithm Design for Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70518-2.

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2

Thomas, Abraham. The intuitive algorithm. Affiliated East-West Press, 1991.

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3

Shi, Yuhui. Emerging research on swarm intelligence and algorithm optimization. Information Science Reference, 2015.

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4

Falkenhainer, Brian. The structure-mapping engine: Algorithm and examples. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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5

Thomas, Abraham. The intuitive algorithm: About artificial intelligence, the mind, and happiness. East West Books, 2004.

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6

Hedgley, David R. A formal algorithm for routing traces on a printed circuit board. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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7

Kacprzyk, Janusz. Music-Inspired Harmony Search Algorithm: Theory and Applications. Springer Berlin Heidelberg, 2009.

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8

Miranker, Daniel. TREAT: A new and efficient match algorithm for Al production systems. Pitman, 1990.

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9

Miranker, Daniel P. TREAT: A new and efficient match algorithm for Al production systems. Pitman, 1990.

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10

Miranker, Daniel P. TREAT: A new and efficient match algorithm for AI production systems. Pitman, 1990.

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11

Indian Institute of Management, Ahmedabad., ed. An efficient algorithm for frequent pattern mining for real-time business intelligence analytics in dense datasets. Indian Institute of Management, 2005.

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12

Silhavy, Radek, ed. Artificial Intelligence Methods in Intelligent Algorithms. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19810-7.

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13

Vas, Peter. Artificial-intelligence-based electrical machines and drives: Application of fuzzy, neural, fuzzy-neural, and genetic-algorithm-based techniques. Oxford University Press, 1999.

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14

Riolo, Rick. Genetic Programming Theory and Practice X. Springer New York, 2013.

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15

Silhavy, Radek, ed. Artificial Intelligence and Algorithms in Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91189-2.

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16

Duoqian, Miao, Wang Fu Lee, Lei Jingsheng, and SpringerLink (Online service), eds. Emerging Research in Artificial Intelligence and Computational Intelligence: International Conference, AICI 2011, Taiyuan, China, September 23-25, 2011. Proceedings. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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17

service), SpringerLink (Online, ed. Experimental Algorithms: 11th International Symposium, SEA 2012, Bordeaux, France, June 7-9, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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18

Krawiec, Krzysztof. Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Springer Berlin Heidelberg, 2013.

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19

Christian, Blum, ed. Hybrid metaheuristics: An emerging approach to optimization. Springer, 2008.

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20

Slowik, Adam, ed. Swarm Intelligence Algorithms. CRC Press, 2020. http://dx.doi.org/10.1201/9780429422607.

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21

Slowik, Adam, ed. Swarm Intelligence Algorithms. CRC Press, 2020. http://dx.doi.org/10.1201/9780429422614.

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22

Qin, Zengchang. Integrated Uncertainty in Knowledge Modelling and Decision Making: International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013. Proceedings. Springer Berlin Heidelberg, 2013.

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23

B, Verbruggen H., Babuška Robert, and Zimmermann H. J. 1934-, eds. Fuzzy algorithms for control. Kluwer Academic Publishers, 1999.

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24

Bar-Noy, Amotz. Algorithms for Sensor Systems: 8th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2012, Ljubljana, Slovenia, September 13-14, 2012. Revised Selected Papers. Springer Berlin Heidelberg, 2013.

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25

Is Intelligence an Algorithm? Hunt Publishing Limited, John, 2017.

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26

Kulkarni, Anand Jayant, and Ishaan R. Kale. Constraint Handling in Cohort Intelligence Algorithm. CRC Press LLC, 2022.

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27

Kulkarni, Anand Jayant, and Ishaan R. Kale. Constraint Handling in Cohort Intelligence Algorithm. Taylor & Francis Group, 2021.

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28

Kulkarni, Anand J., and Ishaan R. Kale. Constraint Handling in Cohort Intelligence Algorithm. Taylor & Francis Group, 2022.

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29

Kulkarni, Anand J., and Ishaan R. Kale. Constraint Handling in Cohort Intelligence Algorithm. Taylor & Francis Group, 2022.

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30

Constraint Handling in Cohort Intelligence Algorithm. Taylor & Francis Group, 2022.

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31

Harao, Masateru. Jinko chino arugorizumu-ron (Algorithm series). Kindai Kagakusha, 1993.

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32

Castillo, Oscar, Patricia Melin, and Leslie Astudillo. Chemical Optimization Algorithm for Fuzzy Controller Design. Springer, 2014.

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33

Castillo, Oscar, Patricia Melin, and Leslie Astudillo. Chemical Optimization Algorithm for Fuzzy Controller Design. Springer London, Limited, 2014.

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34

Tan, Ying. Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method. Springer, 2015.

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35

Tan, Ying. Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method. Springer, 2015.

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36

Tan, Ying. Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method. Springer, 2016.

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37

Genetic Algorithm Essentials (Studies in Computational Intelligence Book 679). Springer, 2017.

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38

Thompson, Cynthia. Intelligence of the Prophetic: Uploading the Algorithm of Heaven. JWG Publishing, 2022.

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39

Wolpert, David, and NASA Technical Reports Server (NTRS). Theory of Collective Intelligence. BiblioGov, 2013.

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40

Human Algorithm: How Artificial Intelligence Is Redefining Who We Are. Counterpoint Press, 2020.

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41

Coleman, Flynn. Human Algorithm: How Artificial Intelligence Is Redefining Who We Are. Melville House UK, 2020.

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42

Coleman, Flynn. Human Algorithm: How Artificial Intelligence Is Redefining Who We Are. Counterpoint Press, 2019.

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43

Graham, S. Scott. The Doctor and the Algorithm. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197644461.001.0001.

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Abstract The Doctor and the Algorithm combines insights from science and technology studies, critical algorithm studies, and public interest informatics to better understand how health artificial intelligence (AI) is made, promoted, regulated, and justified. It reviews the enthusiastic promises of health AI marketing communication and medical futurism as well as concerns about the dangerous and inequitable effects of AI that have been raised in critical algorithm studies and bioethics. In so doing, The Doctor and the Algorithm investigates promising new applications for health AI, as well as how these new technologies can replicate human biases under a veneer of objectivity and lead to considerable harms. The book also leverages AI, itself, to investigate the foundations of machine-learning technologies and the use of promotional language in health AI research. Along the way, it explores both how the overly enthusiastic embrace of health AI can lead to unintended consequences for patients and public health and how new initiatives in ethical and just AI can support better futures for algorithmic medicine. The Doctor and the Algorithm closes with recommendations for practices and frameworks that can support these more ethical and just approaches to health AI.

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44

Aloisi, Antonio, and Valerio De Stefano. Your Boss Is an Algorithm: Artificial Intelligence, Platform Work and Labour. Bloomsbury Publishing Plc, 2022.

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45

Your Boss Is an Algorithm: Artificial Intelligence, Platform Work and Labour. Bloomsbury Publishing Plc, 2022.

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46

Coleman, Flynn, and Flynn Coleman. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are. HighBridge Audio, 2019.

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47

A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are. Counterpoint, 2019.

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48

Madsbjerg, Christian. Sensemaking: What Makes Human Intelligence Essential in the Age of the Algorithm. Little, Brown Book Group Limited, 2019.

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49

Madsbjerg, Christian. Sensemaking: What Makes Human Intelligence Essential in the Age of the Algorithm. Little, Brown Book Group Limited, 2017.

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50

Bonabeau, Eric, Marco Dorigo, and Guy Theraulaz. Swarm Intelligence. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195131581.001.0001.

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Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.

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