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1

Ebers, Martin, and Marta Cantero Gamito, eds. Algorithmic Governance and Governance of Algorithms. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50559-2.

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2

Hutchinson, Alan. Algorithmic learning. Clarendon Press, 1994.

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3

Amoore, Louise. Algorithmic Life. Routledge, 2015. http://dx.doi.org/10.4324/9781315723242.

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Portuese, Aurelien, ed. Algorithmic Antitrust. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85859-9.

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Mishra, Bhubaneswar. Algorithmic Algebra. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-4344-1.

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6

Condon, Anne, David Harel, Joost N. Kok, Arto Salomaa, and Erik Winfree, eds. Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7.

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Hougardy, Stefan, and Jens Vygen. Algorithmic Mathematics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39558-6.

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Kalpokas, Ignas. Algorithmic Governance. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31922-9.

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9

Nierhaus, Gerhard. Algorithmic Composition. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-75540-2.

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10

Hromkovic, Juraj. Algorithmic Adventures. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85986-4.

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11

Chan, Ernest P. Algorithmic Trading. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118676998.

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12

Terzidis, Kostas. Algorithmic architecture. Architectural Press, 2006.

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13

Andrzej, Salwicki, ed. Algorithmic logic. D. Reidel Pub. Co., 1987.

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14

Levitin, Anany. Algorithmic puzzles. Oxford University Press, 2011.

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15

Joux, Antoine. Algorithmic cryptanalysis. Chapman & Hall/CRC, 2009.

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16

Mishra, Bhubaneswar. Algorithmic algebra. Springer-Verlag, 1993.

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17

Condon, Anne. Algorithmic bioprocesses. Springer, 2009.

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18

García-Marzá, Domingo, and Patrici Calvo. Algorithmic Democracy. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-53015-9.

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19

Filimowicz, Michael. Algorithmic Ethics. Routledge, 2023. http://dx.doi.org/10.4324/9781003299882.

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20

Bär, Tobias. Algorithmic Bias: Verzerrungen durch Algorithmen verstehen und verhindern. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-66315-8.

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21

Caragiannis, Ioannis, and Kristoffer Arnsfelt Hansen, eds. Algorithmic Game Theory. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85947-3.

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22

Fotakis, Dimitris, and David Ríos Insua, eds. Algorithmic Decision Theory. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87756-9.

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23

Hristova, Stefka. Proto-Algorithmic War. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04219-5.

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24

Kanellopoulos, Panagiotis, Maria Kyropoulou, and Alexandros Voudouris, eds. Algorithmic Game Theory. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15714-1.

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25

Rothe, Jörg, ed. Algorithmic Decision Theory. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67504-6.

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26

Hoefer, Martin, ed. Algorithmic Game Theory. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48433-3.

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27

Hanrot, Guillaume, François Morain, and Emmanuel Thomé, eds. Algorithmic Number Theory. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14518-6.

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28

Watanabe, Osamu, and Takashi Yokomori, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46769-6.

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29

Serna, Maria, ed. Algorithmic Game Theory. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33996-7.

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30

Bshouty, Nader H., Gilles Stoltz, Nicolas Vayatis, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34106-9.

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31

Jantke, Klaus P., Takeshi Shinohara, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60454-5.

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32

Monien, Burkhard, and Ulf-Peter Schroeder, eds. Algorithmic Game Theory. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79309-0.

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33

Jain, Sanjay, Rémi Munos, Frank Stephan, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40935-6.

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34

Arimura, Hiroki, Sanjay Jain, and Arun Sharma, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-40992-0.

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35

Hutter, Marcus, Frank Stephan, Vladimir Vovk, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16108-7.

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36

Kontogiannis, Spyros, Elias Koutsoupias, and Paul G. Spirakis, eds. Algorithmic Game Theory. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16170-4.

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37

Walsh, Toby, ed. Algorithmic Decision Theory. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23114-3.

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38

Li, Ming, and Akira Maruoka, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63577-7.

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39

Jain, Sanjay, Hans Ulrich Simon, and Etsuji Tomita, eds. Algorithmic Learning Theory. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564089.

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40

Seibt, Peter. Algorithmic Information Theory. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-33219-0.

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41

Levitin, Anany, and Maria Levitin. Algorithmic Puzzles. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199740444.001.0001.

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While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures. The book's unique collection of puzzles is supplemented with carefully developed
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42

Algorithmic Ethics: Algorithms and Society. Routledge, 2023.

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43

McLean, Alex, and Roger T. Dean. Algorithmic Trajectories. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.37.

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This chapter discusses the contrasting creative experiences of the two editors of this volume on algorithmic music, two complementary people from very different generations and musical backgrounds. One is an experienced instrumentalist with conventional musical training, who has run an international intermedia creative ensemble for several decades. He came to algorithms so as to extend his musical practice, in part by listening. The other is primarily a computer musician, with more training in computation than instrumental performance, and who conversely came to music to extend his algorithmic
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44

Yeung, Karen, and Martin Lodge, eds. Algorithmic Regulation. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198838494.001.0001.

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Algorithms have become a central theme in contemporary policy and public discussion. The varied and potentially profound social implications of our increasing reliance on algorithms in daily life has attracted considerable interest in recent years, especially with the rising awareness of ‘big data’ and predictive analytics. One of the most vivid examples is the widespread concern about the use of algorithms to manipulate information and affect political life, at least since the US elections and the Brexit referendum. This book offers a critical exploration of algorithmic regulation, understood
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45

Aradau, Claudia, and Tobias Blanke. Algorithmic Reason. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192859624.001.0001.

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Are algorithms ruling the world today? Is artificial intelligence making life-and-death decisions? Are social media companies able to manipulate elections? As we are confronted with public and academic anxieties about unprecedented changes, this book offers a different analytical prism to investigate these transformations as more mundane and fraught. Aradau and Blanke develop conceptual and methodological tools to understand how algorithmic operations shape the government of self and other. While disperse and messy, these operations are held together by an ascendant algorithmic reason. Through
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46

Vassiliadis, Vassilios, and Georgios Dounias. Algorithmic Trading based on Biologically Inspired Algorithms. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.11.

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The chapter discusses algorithmic trading, which refers to any automated process, consisting of a number of interconnected components, whose main aim is to perform financial transactions of any kind. Its chief advantage lies in the fact that human intervention is minimized to an acceptable extent. This is quite desirable because nowadays numerous factors affect financial decisions. Financial managers are able to deal with a limited amount of information. There are many ways to implement algorithmic trading systems. This chapter aims to highlight the efficiency of biologically inspired methodol
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47

Gomber, Peter, and Kai Zimmermann. Algorithmic Trading in Practice. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.12.

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The use of computer algorithms in securities trading, or algorithmic trading, has become a central factor in modern financial markets. The desire for cost and time savings within the trading industry spurred buy side as well as sell side institutions to implement algorithmic services along the entire securities trading value chain. This chapter encompasses this algorithmic evolution, highlighting key cornerstones in it development discussing main trading strategies, and summarizing implications for overall securities markets quality. In addition, it touches on the contribution of algorithmic t
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48

Mildenberger, Otto, and Bhubaneswar Mishra. Algorithmic Algebra. Springer, 2011.

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49

Portuese, Aurelien. Algorithmic Antitrust. Springer International Publishing AG, 2021.

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50

Joux, Antoine. Algorithmic Cryptanalysis. Taylor & Francis Group, 2009.

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