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Books on the topic 'Algorithmic decision systems'

Author: Grafiati

Published: 24 June 2021

Last updated: 29 July 2025

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1

Tijms, H. C. Stochastic models: An algorithmic approach. Wiley, 1994.

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2

Szapiro, Tomasz, and Janusz Kacprzyk, eds. Collective Decisions: Theory, Algorithms And Decision Support Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84997-9.

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3

Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. Springer London, 2013.

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4

Koukoudakis, Alexandros. Visualisation decision algorithm for temporal database management system. UMIST, 1996.

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5

A, Grundel Don, Murphey Robert, and Pardalos P. M. 1954-, eds. Theory and algorithms for cooperative systems. World Scientific, 2004.

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6

Zilio, Daniel C. Physical database design decision algorithms and concurrent reorganization for parallel database systems. University of Toronto, Dept. of Computer Science, 1998.

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7

Center, Langley Research, ed. An algorithm for integrated subsystem embodiment and system synthesis. National Aeronautics and Space Administration, Langley Research Center, 1997.

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8

Center, Langley Research, ed. An algorithm for integrated subsystem embodiment and system synthesis. National Aeronautics and Space Administration, Langley Research Center, 1997.

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9

Gdanskiy, Nikolay. Fundamentals of the theory and algorithms on graphs. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/978686.

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The textbook describes the main theoretical principles of graph theory, the main tasks to be solved using graph structures, and General methods of their solution and specific algorithms, with estimates of their complexity. I covered a lot of the examples given questions to test knowledge and tasks for independent decisions. Along with the control tasks to verify the theoretical training provided practical assignments to develop programs to study topics of graph theory. Meets the requirements of Federal state educational standards of higher education of the last generation. Designed

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10

Topolsky, Nikolay, and Valeriy Vilisov. Methods, models and algorithms in security systems: machine learning, robotics, insurance, risks, control. Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02072-2.

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The monograph examines topical issues of decision support and management in safety systems for fire and emergency situations through the use of innovative approaches and tools for operations research, artificial intelligence, robotics and management methods in organizational systems. The monograph is intended for faculty, researchers, graduate students (adjuncts) and doctoral students, as well as for undergraduates, students and listeners of educational organizations, all those who are interested in the problems of decision support and management in security systems.

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11

Albrecht, Eduardo. Political Automation. Oxford University Press, 2025. https://doi.org/10.1093/9780197696989.001.0001.

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Abstract Governments, once staffed exclusively with human bureaucrats, now routinely use AI-based software to gather information about citizens and make decisions that impact their lives. In many nations, AI determines the level of privacy a person can enjoy, how far they can travel, what public benefits they may receive, and what they can and cannot say publicly. This amounts to a phenomenon of political automation rapidly materializing globally and begs the question: What input do citizens have in how these machines think? The book explores this question in various domains—including policing

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12

Varlamov, Oleg. 18 examples of mivar expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert system

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13

Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th

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14

Antony, Richard T. Principles of data fusion automation. Artech House, 1995.

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15

Argyle, David J. Decision making in small animal oncology. Blackwell Pub. Professional, 2008.

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16

Manichev, Vladimir, Valentina Glazkova, and Кузьмина Анастасия. Numerical methods. The authentic and exact solution of the differential and algebraic equations in SAE systems of SAPR. INFRA-M Academic Publishing LLC., 2016. http://dx.doi.org/10.12737/13138.

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In the manual classical numerical methods are considered and algorithms for the decision of systems of the ordinary differential equations (ODE), nonlinear and linear algebraic equations (NAU and LAU), and also ways of ensuring reliability and demanded accuracy of results of the decision. Ideas, which still not are stated are reflected in textbooks on calculus mathematics, namely: decision systems the ODE without reduction to a normal form of Cauchy resolved rather derivative, and refusal from any numerical an equivalent - nykh of transformations

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17

Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledg

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18

Otterlo, Martijn van. The logic of adaptive behavior: Knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains. Ios Press, 2009.

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19

Lapko, V. A. Neparametricheskie kollektivy reshai︠u︡shchikh pravil. "Nauka", 2002.

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20

Otterlo, Martijn van. The logic of adaptive behavior: Knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains. Ios Press, 2009.

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21

Ziliaskopoulos, Athanasios K. Development of a prototype computerized transit information system to assist transit users with route planning decisions. Dept. of Civil and Environmental Engineering and Engineering Graphics, 1996.

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22

K, Krzeczowski, American Institute of Aeronautics and Astronautics., and United States. National Aeronautics and Space Administration., eds. Knowledge-based scheduling of arrival aircraft. American Institute of Aeronautics and Astronautics, 1995.

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23

Grossklags, Jens. Decision and Game Theory for Security: Third International Conference, GameSec 2012, Budapest, Hungary, November 5-6, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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24

Michel, Minoux, ed. Graphs, dioids and semirings: New models and algorithms. Springer, 2008.

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25

Bernstein, Peter L. Against the gods: The remarkable story of risk. John Wiley & Sons, 1996.

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26

Bernstein, Peter L. Against the gods: The remarkable story of risk. John Wiley & Sons, Inc, 1996.

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27

Minobrnauki, Rossiyskoy. Finance and Financial analysis. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242227.

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The textbook systematizes basic knowledge in the field of finance, financial analysis and financial management, presented in their direct relationship and significance from the point of view of evaluation, diagnosis, forecasting and monitoring of the continuity of the organization's activities. It includes seven chapters grouped into three sections. The first section is devoted to the theoretical foundations of the organization's financial management, stakeholders and sources of the organization's activities. The second section discusses the basics of financial analysis, providing knowledge of

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28

Pardalos, P. M. Dynamics of Information Systems: Algorithmic Approaches. Springer, 2013.

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29

Pardalos, P. M. Dynamics of Information Systems: Algorithmic Approaches. Springer, 2015.

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30

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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31

Tijms, H. C. Stochastic Models: An Algorithmic Approach (Wiley Series in Probability and Statistics). John Wiley & Sons Inc, 1995.

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32

Tijms, H. C. Stochastic Models: An Algorithmic Approach (Wiley Series in Probability and Mathematical Statistics). John Wiley & Sons Ltd (Import), 1995.

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33

Kacprzyk, Janusz, and Tomasz Szapiro. Collective Decisions: Theory, Algorithms and Decision Support Systems. Springer International Publishing AG, 2021.

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34

Kacprzyk, Janusz, and Tomasz Szapiro. Collective Decisions: Theory, Algorithms and Decision Support Systems. Springer International Publishing AG, 2022.

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35

Algorithms in Decision Support Systems. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0589-3.

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36

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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37

Villez, Kris, Daniel Aguado, Janelcy Alferes, Queralt Plana, Maria Victoria Ruano, and Oscar Samuelsson, eds. Metadata Collection and Organization in Wastewater Treatment and Wastewater Resource Recovery Systems. IWA Publishing, 2024. http://dx.doi.org/10.2166/9781789061154.

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In recent years, the wastewater treatment field has undergone an instrumentation revolution. Thanks to increased efficiency of communication networks and extreme reductions in data storage costs, wastewater plants have entered the era of big data. Meanwhile, artificial intelligence and machine learning tools have enabled the extraction of valuable information from large-scale datasets. Despite this potential, the successful deployment of AI and automation depends on the quality of the data produced and the ability to analyze it usefully in large quantities. Metadata, including a quantification

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38

Norwitz, Errol R., Hugh Miller, George R. Saade, and Christina M. Davidson. Obstetric Clinical Algorithms. Wiley & Sons, Incorporated, John, 2016.

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39

Obstetric Clinical Algorithms. Wiley & Sons, Incorporated, John, 2016.

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40

Norwitz, Errol R., Hugh Miller, George R. Saade, and Christina M. Davidson. Obstetric Clinical Algorithms. Wiley & Sons, Incorporated, John, 2016.

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41

Norwitz, Errol R., Hugh Miller, George R. Saade, and Christina M. Davidson. Obstetric Clinical Algorithms. Wiley & Sons, Limited, John, 2016.

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42

Maxwell, Jack, and Joe Tomlinson. Experiments in Automating Immigration Systems. Policy Press, 2022. http://dx.doi.org/10.1332/policypress/9781529219845.001.0001.

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In recent years, the United Kingdom's Home Office has started using automated systems to make immigration decisions. These systems promise faster, more accurate, and cheaper decision-making, but in practice they have exposed people to distress, disruption, and even deportation. This book identifies a pattern of risky experimentation with automated systems in the Home Office. It analyses three recent case studies including: a voice recognition system used to detect fraud in English-language testing; an algorithm for identifying ‘risky’ visa applications; and automated decision-making in the EU

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43

Theory and algorithms for cooperative systems. World Scientific, 2004.

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44

Rubel, Alan, Clinton Castro, and Adam Pham. Algorithms and Autonomy: The Ethics of Automated Decision Systems. University of Cambridge ESOL Examinations, 2021.

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45

Rubel, Alan, Clinton Castro, and Adam Pham. Algorithms and Autonomy: The Ethics of Automated Decision Systems. University of Cambridge ESOL Examinations, 2021.

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46

Coomarasamy, Arri, and Jyotsna Pundir. Obstetrics: Evidence-Based Algorithms. Cambridge University Press, 2016.

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47

Coomarasamy, Arri, and Jyotsna Pundir. Obstetrics: Evidence-Based Algorithms. Cambridge University Press, 2017.

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48

Coomarasamy, Arri, and Jyotsna Pundir. Obstetrics: Evidence-Based Algorithms. Cambridge University Press, 2016.

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49

Chang, Hyeong Soo, Michael C. Fu, and Jiaqiao Hu. Simulation-Based Algorithms for Markov Decision Processes. Springer, 2013.

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50

Chang, Hyeong Soo, Michael C. Fu, Jiaqiao Hu, and Steven I. Marcus. Simulation-Based Algorithms for Markov Decision Processes. Springer London, Limited, 2010.

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