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1
Quadflieg, Sven, Klaus Neuburg, and Simon Nestler, eds. (Dis)Obedience in Digital Societies. transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839457634.
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Algorithms are not to be regarded as a technical structure but as a social phenomenon - they embed themselves, currently still very subtle, into our political and social system. Algorithms shape human behavior on various levels: they influence not only the aesthetic reception of the world but also the well-being and social interaction of their users. They act and intervene in a political and social context. As algorithms influence individual behavior in these social and political situations, their power should be the subject of critical discourse - or even lead to active disobedience and to the need for appropriate tools and methods which can be used to break the algorithmic power.
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Munerman, Viktor, Vadim Borisov, and Aleksandra Kononova. Mass data processing. Algebraic models and methods. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1906037.
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The monograph is devoted to mathematical and algorithmic support of mass data processing based on algebraic models. One of the most common classes of mass processing is considered - processing of highly active structured data. The construction of algebraic models of data and calculations and methods of proving their correspondence are analyzed. Three algebraic systems are studied, which can be used both as data models and as models of calculations. The algebraic and axiomatic methods of proving the correspondence of these models are investigated. A proof of their correspondence is given: homomorphism and isomorphism. The problem of optimizing the processes of mass processing of data presented in the form of algebraic expressions in the proposed algebra models is raised. The algorithms of synthesis and optimization of calculation of these expressions, the method of symmetric horizontal data distribution providing parallel implementation of calculation of algebraic expressions and generalization of the block algorithm of parallel matrix multiplication for the case of multiplication of multidimensional matrices are described in detail. Architectures of software and hardware complexes for effective parallel implementation of operations in the considered algebra models are proposed. A number of real-world examples illustrating the application of the proposed methods are given.
 For students, postgraduates and teachers of technical and physical-mathematical universities and faculties.
3
1944-, Webb William, ed. Cake-cutting algorithms: Be fair if you can. A.K. Peters, 1998.
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Dubanov, Aleksandr. Simulation of pursuit and parallel approach methods in pursuit problems. Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02071-5.
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This monograph publishes a description of methods and algorithms for pursuit problems on surfaces. Simulation of tasks in the Mathcad programming environment was made. The development of digital technologies makes it possible to simulate a variety of problems from the theory of differential games. As a result of computer modeling, a lot of animation videos were obtained, which allow you to see the algorithmic solutions proposed by the author in pursuit problems.
 The monograph can be useful for students of technical universities, graduate students and developers of robotic systems with elements of artificial intelligence.
5
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 for undergraduate and graduate programs, studying information technology, for in-depth training in analysis and design of systems of complex structure. Also the guide can be useful to specialists of the IT sphere in the study of algorithmic aspects of graph theory.
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P, Banks Stephen. Can Perceptrons find Lyapunov functions?: An algorithmic approach to systems stability. University of Sheffield, Dept. of Control Engineering, 1989.
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Dapporto, Paolo, Paola Paoli, Patrizia Rossi, and Annalisa Guerri. The UTN program. Firenze University Press, 2001. http://dx.doi.org/10.36253/88-8453-032-6.
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We give an algorithm which goal is to find the energy barrier between a given pair of points in a graph which represents the conformational space of a molecule. If the conformational space is homeomorphic to an -dimensional torus, then the graph can be chosen of a particular form. The UTN software, which implements the algorithm in this case, is described in detail. Finally we focus on applications: to show how UTN works, some examples are carried on in detail, with the additional support of graphical animation1 in the twodimensional case. The source code of the program and some data of the examples are available to the reader.
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van Es, Karin, and Nanna Verhoeff. Situating Data. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463722971.
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Taking up the challenges of the datafication of culture, as well as of the scholarship of cultural inquiry itself, this collection contributes to the critical debate about data and algorithms. How can we understand the quality and significance of current socio-technical transformations that result from datafication and algorithmization? How can we explore the changing conditions and contours for living within such new and changing frameworks? How can, or should we, think and act within, but also in response to these conditions? This collection brings together various perspectives on the datafication and algorithmization of culture from debates and disciplines within the field of cultural inquiry, specifically (new) media studies, game studies, urban studies, screen studies, and gender and postcolonial studies. It proposes conceptual and methodological directions for exploring where, when, and how data and algorithms (re)shape cultural practices, create (in)justice, and (co)produce knowledge.
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Ulyanina, Olga, Azalia Zinatullina, and Elena Lyubka. Countering terrorism: psychological assistance to students and the formation of a safe type of personality. Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02048-7.
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The manual describes a program of psychological support for students exposed to the ideology of terrorism or falling under the influence of this ideology. In this regard, the content of educational, psychodiagnostic, correctional and developmental stages of its implementation is revealed. The paper presents an algorithm for conducting psychological counseling with students and recommendations for parents on psychological support for children exposed to the ideology of terrorism.
 The practical tools described in the manual can be used in the framework of preventive and corrective work with participants in the educational process. The developed materials are addressed to education administrators, teachers, educational psychologists of educational organizations and parents.
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Cevelev, Aleksandr. Strategic development of railway transport logistics. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1194747.
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The monograph is devoted to the methodology of material and technical support of railway transport. According to the types of activities, the nature of the material and technical resources used, technologies, means and management systems, Russian railways belong to the category of high-tech industries that must have high quality and technical level, reliability and technological efficiency in operation. For this reason, the logistics system itself, both in structure and in the algorithm of the functions performed as a whole, needs a serious improvement in the quality of its work. The economic situation in Russia requires a revision of the principles and mechanisms of management based on the corporate model of supply chain management, focused on logistics knowledge. In the difficult economic conditions of the current decade, it is necessary to improve the quality of the supply organization of enterprises and structural divisions of railway transport, directly related to the implementation of the process approach, the advantage of which is a more detailed regulation of management actions and their mutual coordination. In order to increase the efficiency of its activities and develop the management system, Russian Railways is developing a lean production system aimed at further expanding the implementation of the principles of customer orientation, ideology and corporate culture.
 At the present time, the solution of many issues is impossible without a cybernetic approach to the formulation of problems of material and technical support and logistics analysis of information technologies, to the implementation of the developed algorithms and models of development strategies and concepts for improving the business processes of the production system. The management strategy, or the general plan for the implementation of activities for the management of material resources, is based on a fundamental assessment of the alignment and correlation of forces and factors operating in the economic and political field, taking into account the impact on the specific form of the management strategy.
 The materials will be useful to the heads and specialists of the directorates of the MTO, CDZs and can be used in the scientific research of bachelors, masters and postgraduates interested in the economics of railway transport and supply logistics.
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Kostyukov, Viktor. Theory of quantum chemistry. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1090584.
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The textbook summarizes the basic theories of quantum chemistry. A comparative analysis of the computational efficiency of computational algorithms implementing these theories from the point of view of the ratio "accuracy — resource intensity" is performed. Considerable attention is paid to the problem of accounting for electronic correlation, as well as relativistic quantum chemical effects.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 It is intended for undergraduate students of higher educational institutions; it can be used by graduate students studying materials science, structural, organic and physical chemistry, molecular biology and biophysics, biotechnology.
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Kaspina, Roza, and Lyubov' Plotnikova. Accounting and taxation of foreign economic activities of organizations. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1018339.
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The tutorial contains practical examples of organization and conducting accounting and tax accounting of foreign economic activity and the examples that reveal the specifics of foreign exchange operations. Given a multivariate system of control of knowledge of students with answers and solution algorithm is a full set of the Fund of assessment tools for current and intermediate control. Used active learning methods in the form of colloquiums, business games, discussions and other interactive forms.
 Meets the requirements of Federal state educational standards of higher education of the last generation.
 Designed for students enrolled in our undergraduate and graduate students of economic universities. It can be useful to executives and managers of organizations, chief accountants and economists, auditors in their practical work, as presented in the textbook material allows to solve a dispute.
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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 knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations.
 It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
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Peschanskiy, Aleksey. Semi-Markov models of prevention of unreliable single-channel service system with losses. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1870597.
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The monograph examines various maintenance strategies of a single-channel system with losses and unreliable recoverable service device under the assumption of a general type of random variables describing random processes occurring in the system. The apparatus for constructing models of the functioning of the system are semi-Markov processes with a measurable phase space of states and phase enlargement algorithms. Stationary probabilistic and economic indicators of the system are explicitly determined and the tasks of optimal frequency of maintenance of the device are solved.
 For researchers, engineers and specialists in the field of metamathematic theory of reliability, system analysis. It can be useful for graduate students and students of relevant specialties of technical universities and universities.
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Sokol'skaya, Elena, and Boris Kochurov. Geoecology of the city: models of environmental quality. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1205961.
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The monograph examines the features of studying the geoecological state of urbanized territories, reveals the use of integrated assessment and mapping in urban diagnostics, and finds a solution to geoecological problems on the example of world cities that are leading in the rating for quality of life.
 The components of an information and analytical model of the urban environment for assessing the geoecological situation are described; an algorithm for a comprehensive study of the geoecological state aimed at an adequate assessment of the quality of the urban environment. Special attention is paid to the methodology of geoecological assessment of the quality of the urban environment based on multifactor modeling, which allows making recommendations for improving the comfort of living of the population.
 It is intended for a wide range of specialists in the field of geoecology of the city, and can also be used as a textbook for students of environmental, natural-geographical, engineering specialties.
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Panteleev, Andrey, Natal'ya Savost'yanova, and Natal'ya Fedorova. Mathematical analysis. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1077332.
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The manual contains a brief statement of the course of mathematical analysis. In contrast to existing academic literature textbook starts with a Chapter on "Basic mathematics" that covers arithmetic and algebra, i.e. the essential information needed when solving problems of higher mathematics. Along with theoretical material all the sections are accompanied by a number of examples, including illustrating the geometric and economic meanings of the introduced concepts, methods and algorithms for solving mathematical, engineering and economic challenges. Given tasks for independent solving with answers.
 Meets the requirements of Federal state educational standards of higher education of the last generation.
 For students of higher educational institutions studying the discipline "Mathematical analysis" and "Higher mathematics" and receive education on the directions of science, engineering and technology, Informatics and Economics (bachelor and master). Can be used by individuals engaged in self-education.
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Eremeeva, Lyudmila, and N. Bol'shakov. Transport logistics. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/993518.
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The textbook examines the theoretical and methodological foundations of transport logistics in practical interaction with other functional areas in the promotion of material flow using the logistics management system and information support of transport infrastructure, as well as logistics service. The materials are presented on the basis of a modern process approach. Practical situational tasks with solution algorithms, tests to verify the knowledge gained, topics of abstracts for independent work are given.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 It is intended for undergraduate students of the training directions 23.03.01 "Technology of transport processes", 23.03.03 "Operation of transport and technological machines and complexes" of all forms of education. Since efficient transportation is an integral element of the production process, it can be used by specialists involved in the organization of transportation and its management, regardless of the industry orientation.
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Bucher, Taina. Conclusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190493028.003.0007.
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When conceptualizing the power and politics of algorithms it is important to blend an understanding of their material substrates with an understanding of the multiple ways of perceiving, feeling, acting, and knowing which congeal around algorithms as an object of social concern. The concluding chapter revisits some of the key questions of the book and looks at how algorithmic power and politics can be understood if power and politics are not necessarily about imposing force from above. The chapter serves to summarize the key contributions of the book in terms of: (1) providing an understanding of algorithms that is not committed to one ontological position, but instead sees algorithms in terms of a multiple and variable ontology, (2) helping to identify forms of algorithmic power and politics and (3) offering a theoretical framework for the kinds of work that algorithms do and the landscapes they help to generate.
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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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Dean, Roger T., and Alex McLean, eds. The Oxford Handbook of Algorithmic Music. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.001.0001.
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Algorithmic music appears to be at a turning point in its history, with many new systems and communities of practice developing together, as vibrant musical culture. This handbook brings together dozens of leading researchers and practitioners in the field, blending technical, artistic, cultural and scientific viewpoints into a whole that considers the making of algorithmic music as a rich, and essentially human activity. The book is organised into four sections, the first grounding the topic in the history, philosophy and psychology of algorithmic music. The second section asks 'what can algorithms in music do?', finding answers in computer science, mathematics, machine learning, bio-inspired computation, manipulation of pattern, computational creativity, and live coding. The third section focuses on the music maker, and the role of algorithms in supporting network music, sonification, music interface design, music in computer games, and spatialisation. The final section opens out to culture at large, and considers algorithmic music in terms of its audience reception, sociology, education, politics and the potential for mass consumption. Perhaps just as importantly, these sections are interleaved with reflective pieces from leading practitioners in the field, allowing us to to grasp the pragmatics of making music with algorithms. Combined, these diverse standpoints provide an absorbing, authoritative survey of research and practice from across the algorithmic music field.
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Angliss, Sarah. When Algorithms Meet Machines. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.30.
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Algorithms permit a performer to play several instruments at once: here the focus is on the carillon but also robotic instruments, and on create changing and flexible music quickly. The chapter discusses how the author’s approach to solo performance brings serendipity and musical richness, and a sense of duetting with a fellow inventor. That inventor can be an algorithm embedded in tangible, moving objects.
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Brown, Andrew R. Algorithms and Computation in Music Education. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.17.
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The chapter discusses how bringing music and computation together in the curriculum offers socially grounded contexts for the learning of digital expression and creativity. It explores how algorithms codify cultural knowledge, how programming can assist students in understanding and manipulating cultural norms, and how these can play a part in developing a student’s musicianship. In order to highlight how computational thinking extends music education and builds on interdisciplinary links, the chapter canvasses the challenges, and solutions, involved in learning through algorithmic music. Practical examples from informal and school-based educational contexts are included to illustrate how algorithmic music has been successfully integrated with established and emerging pedagogical approaches.
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Kant, Tanya. Making it Personal. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190905088.001.0001.
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The encounter of “personalized experiences”—targeted advertisements, tailored information feeds, and “recommended” content, among other things—is now a common and somewhat inescapable component of digital life. More often than not however, “you” the user are not primarily responsible for personalizing your web engagements: instead, with the help of your search, browsing, and purchase histories, your “likes,” your click-throughs, and a multitude of other data you produce as you go about your day, your experience can “conveniently”—and computationally—be personalized on your behalf. This book explores a host of new questions that emerge from web users’ encounters with these forms of algorithmic personalization. What do users “know” about the algorithms that apparently “know” them? If personalization practices seek to act on users’ behalf (for instance, by deciding what content is personally relevant), then how do users retain or relinquish their autonomy? Indeed, what kinds of selfhoods are made possible when personalization algorithms intervene in identity construction? Making It Personal is the first full-length monograph to critically analyze the sociocultural implications of algorithmic personalization through the accounts and testimonies of web users themselves. At the heart of the book are interviews and focus groups with web users who—through a myriad of resistant, tactical, resigned, or trusting engagements—encounter algorithmic personalization as part of their lived experience on the web. The book proposes that for those who encounter it, algorithmic personalization creates new implications for knowledge production, autonomy, cultural capital, and formations of self.
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Zimmer, Daniel, ed. Regulierung für Algorithmen und Künstliche Intelligenz. Nomos Verlagsgesellschaft mbH & Co. KG, 2021. http://dx.doi.org/10.5771/9783748927990.
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Whether we are booking a flight, applying for a loan, or looking for a life partner on an Internet platform, a machine is often involved on the side of our contractual partner, arriving at a decision or proposal on the basis of an algorithm-supported preselection. The use of algorithms and artificial intelligence raises a variety of questions, some of which are of a legal nature, but also relate to ethics, economics and technology. The book - which reproduces the presentations and discussions at a conference in Bonn - explores these questions: In which areas is regulation necessary, and in which can the development and use of algorithms be left to the market? With contributions by Miriam Buiten, Markus Gabriel, Jan-Frederick Göhsl, Justus Haucap, Andreas Heinemann, Ulrich Kelber, Jürgen Kühling, Matthias Lehmann, Jörn Lüdemann, Michael Mock, Petra Pohlmann, Maximilian Poretschkin, Timo Rademacher, Johannes Rottmann, Matthias Schaut, Stefan Thomas, Maik Wolf, Stefan Wrobel and Daniel Zimmer.
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Webb, William, and Jack Robertson. Cake-Cutting Algorithms: Be Fair If You Can. CRC Press LLC, 1998.
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Coolen, A. C. C., A. Annibale, and E. S. Roberts. Network growth algorithms. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0008.
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Growth processes are a fundamentally different approach compared to probability-driven exponential models covered in earlier chapters. This chapter studies how growth rules can be designed to mimic processes observed in the real world, and how the process can be mathematically analyzed in order to obtain information about the likely topological properties of the resulting networks. The configuration (stub joining) model is described, including a careful discussion of how bias can be introduced if backtracking is used instead of restarting if stubs join to form a self or double link. The second class of models looked at is preferential attachment. The simplest variants of this are analyzed with a master equation approach, in order to introduce this technique as a way of obtaining analytical information about the expected properties of the generated graphs. Extensive references are provided to the numerous variants and extensions of both of these models.
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Aziz, Nazrina, Syariza Abdul-Rahman, and Norhaslina Zainal Abidin, eds. Recent Applications in Quantitative Methods and Information Technology. UUM Press, 2019. http://dx.doi.org/10.32890/9789672210269.
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This book is a guide for researchers who are involved in statistical, mathematical, information technology and decision science analyses. The purpose of the book is to allow readers to get research ideas on a wide range of topics, such as sampling plans, capital budgeting, completion time in production line, searching pattern for mobile cache replacement policy, home security system with biometric finger print and web service technology. The analyses in each chapter are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical, algorithm and mathematical formulations. Prior to reading this book, readers are advised to have some basic foundation in statistical sampling, tabu search approach, neural network, algorithms, and mathematical formulation. This book will be beneficial to students and researchers who are looking for research topic of the research and how problems can be solved using an applied method.
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Calix, Ricardo. Deep Learning Algorithms: Transformers, Gans, Encoders, Rnns, Cnns, and More. Independently Published, 2020.
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Calix, Ricardo. Deep Learning Algorithms: Transformers, Gans, Encoders, Cnns, Rnns, and More. Independently Published, 2020.
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Young, Michael, and Tim Blackwell. Live Algorithms for Music. Edited by Benjamin Piekut and George E. Lewis. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199892921.013.002.
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Live algorithms are an ideal concept: computational systems able to collaborate proactively with humans in the creation of group-based improvised music. The challenge is to achieve equivalence between human and computer collaborators, both in formal terms and in practice (evident to both performers and audience alike). The fundamental question is the capacity for computational processes to exhibit “creativity.” The problems inherent in computer music performance are considered, in which computers are quasi-instruments or act in proxy for another musician. Theories from social psychology and pragmatics are explored to help understand live music-making as a special case of social organization; namely, Kelley’s covariation model of Attribution Theory and Grice’s Maxims of Cooperation. This chapter outlines a description of how human beings and computers might engage on an equivalent basis and proposes how social psychology theories, rendered in formal language, can point to new horizons in human-computer performance practice.
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Prassl, Jeremias. Lost in the Crowd. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797012.003.0004.
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This chapter explores the gig economy’s entrepreneurship narrative, juxtaposing platforms’ promises of autonomy, freedom, and self-determination with the sobering reality of algorithmic control. Life as a ‘micro-entrepreneur’, it turns out, is heavily conditioned by ever-watchful rating algorithms, which aggregate customer feedback and compliance with platform guidelines to exercise close control. Failure to comply can have drastic results. Moreover, depending on consumer demand, the promised flexibility of on-demand work can quickly turn into economic insecurity, as gig income is highly unpredictable from week to week. The promise of freedom similarly rings hollow for many—not least because of carefully constructed contractual agreements that ban some gig workers from taking platforms to court. Instead of enjoying the spoils of successful entrepreneurship, a significant proportion of on-demand workers find themselves trapped in precarious, low-paid work.
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Shneiderman, Ben. Human-Centered AI. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192845290.001.0001.
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Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of artificial intelligence (AI) to include human-centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective can shape the future of technology so as to better serve human needs. Educators, designers, software engineers, product managers, evaluators, and government agency staffers can build on AI-driven technologies to design products and services that make life better for people and enable people to care for each other. Humans have always been tool builders, and now they are supertool builders, whose inventions can improve our health, family life, education, business, the environment, and much more. The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits AI researchers, developers, business leaders, policy makers, and others who build on their working methods by including HCAI strategies of design and testing. This enlarged vision can shape the future of technology so as to better serve human needs. As many technology companies and thought leaders have said, the goal is not to replace people, but to empower them by making design choices that give humans control over technology.
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Matthews, Charles. Algorithmic Thinking and Central Javanese Gamelan. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.25.
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This chapter explores the idea of central Javanese gamelan (also known as karawitan) as rule-based music, examining areas where algorithmic thinking can take place in both performance and composition. Different types of performance techniques are discussed, exploring the degree to which rules can be used to generate melodic content from a notated outline called the balungan (meaning ‘skeleton’ or ‘frame’ in Javanese). Several applications of algorithms in the contexts of ethnomusicology and composition are presented, with a focus on grammars and rewriting systems. This leads to a discussion of the author’s work with rule-based systems in composition and performance, including integration of computer parts in a live gamelan ensemble through augmented instruments. The chapter concludes with an overview of Pipilan: a piece of software developed in Max/MSP for computer-aided composition, which has also been used to facilitate audience participation in performance and installation settings.
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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, load balancing, environmental analysis and healthcare. The goal of the book is to equip the reader - students and data analysts - the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.
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Bad choices: How algorithms can help you think smarter and live happier. 2017.
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Bad Choices: How Algorithms Can Help You Think Smarter and Live Happier. Hodder & Stoughton, 2018.
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Fiebrink, Rebecca A., and Baptiste Caramiaux. The Machine Learning Algorithm as Creative Musical Tool. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.23.
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Machine learning is the capacity of a computational system to learn structure from data in order to make predictions on new data. This chapter draws on music, machine learning, and human-computer interaction to elucidate an understanding of machine learning algorithms as creative tools for music and the sonic arts. It motivates a new understanding of learning algorithms as human-computer interfaces: like other interfaces, learning algorithms can be characterized by the ways their affordances intersect with goals of human users. The chapter also argues that the nature of interaction between users and algorithms impacts the usability and usefulness of those algorithms in profound ways. This human-centred view of machine learning motivates a concluding discussion of what it means to employ machine learning as a creative tool.
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Giannicola, Roberto. You've Got Algorithm, but Can You Dance?: Learn How to Lead with Heart and Empathy. Giannicola Inc., 2022.
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Giannicola, Roberto. You've Got Algorithm, but Can You Dance?: Learn how to lead with heart and empathy. Giannicola Inc., 2022.
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Bag-of-Words Algorithms Can Supplement Transformer Sequence Classification & Improve Model Interpretability. RAND Corporation, 2022. http://dx.doi.org/10.7249/wra1719-1.
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Mitchell, John D., and Marek Brzezinski. Introduction to Pulmonary Urgencies and Emergencies. Edited by Matthew D. McEvoy and Cory M. Furse. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190226459.003.0013.
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The lungs exchange gases and also provide for some metabolic functions. Respiratory failure can be grouped into types I-IV. Type I (hypoxemic) and type II (hypercapnic) are the most prominent; type III is perioperative and often considered a subset of type I, while type IV is due to shock. Pulmonary urgencies and emergencies require rapid diagnosis and treatment in order to avoid morbidity and mortality. Identification of risk factors for desaturation and the application of an appropriate management algorithm can facilitate diagnosis and management. The ABCD-A SWIFT CHECK algorithm and its subalgorithms represent a logical approach to rapid diagnosis and management.
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Bucher, Taina. Neither Black nor Box. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190493028.003.0003.
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If algorithms are multiple and variable in nature, how can they be known? The chapter draws on the concept of the black box as a heuristic device to discuss the nature of algorithms in contemporary media platforms, and how we might attend to and study algorithms, despite, or even because of, their seemingly inaccessible or secretive nature. Framing algorithms as eventful, understood as constituents that co-become, the author suggests, somewhat paradoxically, that algorithms are not always important. Rather, their agency emerges as important only in particular settings or constellations. The chapter argues that by shifting attention away from asking what and where agency is, to when it is mobilized and on whose behalf, we may begin to interrogate the black box not as an ontological or epistemological claim but, ultimately, a political one as well.
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Nishan, Degnarain, ed. Soul of the sea in the age of algorithm: How tech startups can heal our oceans. Leete'S Island Books, 2017.
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Information Manifold - Why Computers Can`t Solve Algorithmic Bias and Fake News. MIT Press, 2019.
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Eves, Derral. YouTube Formula: How Anyone Can Unlock the Algorithm to Drive Views, Build an Audience, and Grow Revenue. Wiley & Sons, Incorporated, John, 2021.
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Eves, Derral. YouTube Formula: How Anyone Can Unlock the Algorithm to Drive Views, Build an Audience, and Grow Revenue. Wiley & Sons, Incorporated, John, 2021.
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Hanson, Stephen José, Michael J. Kearns, Thomas Petsche, and Ronald L. Rivest, eds. Computational Learning Theory and Natural Learning Systems, Volume 2. The MIT Press, 1994. http://dx.doi.org/10.7551/mitpress/2029.001.0001.
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Computational learning theory, neural networks, and AI machine learning appear to be disparate fields; in fact they have the same goal: to build a machine or program that can learn from its environment. Accordingly, many of the papers in this volume deal with the problem of learning from examples. In particular, they are intended to encourage discussion between those trying to build learning algorithms (for instance, algorithms addressed by learning theoretic analyses are quite different from those used by neural network or machine-learning researchers) and those trying to analyze them. The first section provides theoretical explanations for the learning systems addressed, the second section focuses on issues in model selection and inductive bias, the third section presents new learning algorithms, the fourth section explores the dynamics of learning in feedforward neural networks, and the final section focuses on the application of learning algorithms. Bradford Books imprint
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Krzanowski, Roman M., and Jonathan Raper. Spatial Evolutionary Modeling. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195135688.001.0001.
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Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.
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Coopersmith, Jennifer. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198743040.003.0001.
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The chapter explains how the Principle of Least Action yields a unique answer to a physical problem irrespective of the frame of reference. The motivation arises from d’Alembert’s rousing words: “To someone who could grasp the Universe from a unified standpoint the entire creation would appear as a unique truth and necessity.” The requirement is that one “algorithm” can cope with all the specificity, variety, and complexity across the whole of physics. That one algorithm could ever be up to the task is made plausible by use of an allegory involving a King, the princess, and some suitors. Finally, the link with Least Action is made. Note that the terms extremal, objectivity, observer, and viewpoint are explained.
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Grosso, Susana. ALGEFIT: ALgoritmo de GEstión de FITosanitarios. Teseo, 2020. http://dx.doi.org/10.55778/ts878668031.
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<p>Este manual, dirigido especialmente a gobiernos locales e ingenieros agrónomos, tiene como objetivo colaborar con la implementación de normas vinculadas a la aplicación de fitosanitarios.</p><p>ALGEFIT es una herramienta que ayuda a ordenar la gestión del uso de plaguicidas a través de la identificación de los problemas pertinentes, del nivel de gestión y de la factibilidad de ejecución de la gestión a partir de los recursos materiales y humanos disponibles y de las prioridades políticas existentes.</p><p>Facilita la interacción entre los actores locales. El uso de fitosanitarios es un tema sensible y en los pueblos rurales muchas veces se opta por no abordarlo, tratando de evitar conflictos entre vecinos. Esta herramienta ayuda a visualizar la magnitud y complejidad del problema, a despersonalizar las acciones y a ordenar la toma de decisiones.</p><p>ALGEFIT es complementario y compatible con el desarrollo de sistemas de producción de menor impacto ambiental, como las BPA o la producción agroecológica.</p>