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Published: 10 December 2022
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1

M, Carley Kathleen, and Prietula Michael J, eds. Computational organization theory. Hillsdale, N.J: L. Erlbaum Associates, 1994.

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2

Lin, Zhiang. Designing stress resistant organizations: Computational theorizing and crisis applications. Boston: Kluwer Academic Publishers, 2003.

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3

Miller, John H. Complex adaptive systems: An introduction to computational models of social life. Princeton, NJ: Princeton University Press, 2006.

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4

E, Page Scott, ed. Complex adaptive systems: An introduction to computational models of social life / John H. Miller and Scott E. Page. Princeton, New Jersey: Princeton University Press, 2007.

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Leleur, Steen. Complex Strategic Choices: Applying Systemic Planning for Strategic Decision Making. London: Springer London, 2012.

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6

Olariu, Stephan, G. Conte, Denis Caromel, Frank Mueller, Keqin Li, Yi Pan, Beverly Sanders, et al. Parallel and Distributed Processing: 11th IPPS/SPDP99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing San Juan, Puerto Rico, USA, April 1216, 1999 Proceedings. Berlin: Springer-Verlag, 1999.

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7

Polychronopoulos, Constantine, Kazuki Joe Akira Fukuda, and Shinji Tomita. High Performance Computing: Second International Symposium, ISHPC'99 Kyoto, Japan, May 26-28, 1999 Proceedings. Berlin: Springer-Verlag, 1999.

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8

ICCS 2003 (2003 Melbourne, Vic., and Saint Petersburg, Russia). Computational science-- ICCS 2003: International conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003 : proceedings. New York: Springer, 2003.

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9

Mahr, B. Autonomous Systems – Self-Organization, Management, and Control: Proceedings of the 8th International Workshop held at Shanghai Jiao Tong University, Shanghai, China, October 6–7, 2008. Dordrecht: Springer Science + Business Media B.V, 2008.

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10

service), SpringerLink (Online, ed. Engineering Secure Two-Party Computation Protocols: Design, Optimization, and Applications of Efficient Secure Function Evaluation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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11

service), SpringerLink (Online, ed. Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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12

Ceri, Stefano. Search Computing: Broadening Web Search. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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13

Pfeiffer, Heather D. Conceptual Structures for STEM Research and Education: 20th International Conference on Conceptual Structures, ICCS 2013, Mumbai, India, January 10-12, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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14

Prokopenko, Mikhail. Advances in Applied Self-Organizing Systems. 2nd ed. London: Springer London, 2013.

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15

Mira, Jos, and Juan V. Schez-Andr. Engineering Applications of Bio-Inspired Artificial Neural Networks: International Work-Conference on Artificial and Natural Neural Networks, IWANN'99 Alicante, Spain, June 24, 1999 Proceedings, Volume II. Berlin: Springer-Verlag, 1999.

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16

Jincai, Chang, Yang Aimin, and SpringerLink (Online service), eds. Information Computing and Applications: Second International Conference, ICICA 2011, Qinhuangdao, China, October 28-31, 2011. Proceedings, Part II. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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17

Aykanat, Cevdet, and Tug rul Dayar. Computer and information sciences: ISCIS 2004, 19th international symposium, Kemer-Antalya, Turkey, October 27-29, 2004 : proceedings. Berlin: Springer, 2004.

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18

Tapiero, Charles S. Engineering Risk and Finance. Boston, MA: Springer US, 2013.

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19

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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20

Carley, Kathleen M., and Michael J. Prietula. Computational Organization Theory. Taylor & Francis Group, 2016.

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21

Carley, Kathleen M., and Michael J. Prietula. Computational Organization Theory. Taylor & Francis Group, 2014.

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22

Carley, Kathleen M., and Michael J. Prietula. Computational Organization Theory. Taylor & Francis Group, 2014.

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23

Carley, Kathleen M., and Michael J. Prietula. Computational Organization Theory. Taylor & Francis Group, 2014.

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24

Carley, Kathleen M., and Michael J. Prietula. Computational Organization Theory. Taylor & Francis Group, 2014.

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25

Computational and Robotic Models of the Hierarchical Organization of Behavior. Springer, 2013.

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26

Baldassarre, Gianluca, and Marco Mirolli. Computational and Robotic Models of the Hierarchical Organization of Behavior. Springer, 2016.

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27

Lin, Zhiang (John), and Kathleen M. Carley. Designing Stress Resistant Organizations: Computational Theorizing and Crisis Applications (Information and Organization Design Series). Springer, 2003.

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28

Lin, Zhiang (John), and Kathleen M. Carley. Designing Stress Resistant Organizations: Computational Theorizing and Crisis Applications. Springer London, Limited, 2013.

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29

Carley, Kathleen M., and Zhiang Lin. Designing Stress Resistant Organizations: Computational Theorizing and Crisis Applications. Springer, 2010.

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30

Carley, Kathleen M. Computational Organization Theory. Psychology Press, 2014. http://dx.doi.org/10.4324/9781315806648.

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31

Miller, John H., and Scott Page. Complex Adaptive Systems: An Introduction to Computational Models of Social Life. Princeton University Press, 2009.

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32

Page, Scott E., and John H. Miller. Complex Adaptive Systems: An Introduction to Computational Models of Social Life. Princeton University Press, 2007.

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33

Page, Scott E., and John H. Miller. Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity). Princeton University Press, 2007.

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34

Page, Scott E., and John H. Miller. Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity). Princeton University Press, 2007.

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35

Chang, Myong-Hun. Computational Industrial Economics. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.42.

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Approach to Dynamic Analysis in Industrial Organization This chapter offers a basic agent-based computational model of industry dynamics that allows us to study the evolving industry structure through entry and exit of heterogeneous firms. The field of modern industrial economics focuses on the structure and performance of the industry in equilibrium when firms make decisions in an optimizing way, typically with perfect foresight. The patterns that arise in the process of adjustment, induced by persistent external shocks, are often ignored for lack of a proper tool for analysis. The model introduced here induces turbulence in market structure through unpredictable shocks to the firms' technological environment. The base model presented here enables the analysis of interactive dynamics between firms as they compete in a changing environment with limited rationality and foresight. A possible extension of the base model, allowing for R&D by firms, is also discussed.
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36

Dawson, C. Bryan. Calculus Set Free. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192895592.001.0001.

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Calculus Set Free: Infinitesimals to the Rescue is a single-variable calculus textbook that incorporates the use of infinitesimals, and more generally the hyperreal numbers. The infinitesimal methods and notation herein were developed with beginning calculus students in mind, resulting in exposition that is more intuitive as well as many calculational procedures that are easier to perform, as compared to both traditional calculus textbooks and earlier attempts at including infinitesimals in calculus. Arithmetic of hyperreal numbers, levels of hyperreal numbers, and approximation in the hyperreals lead to a definition of limit. Limit computations are based directly on that definition. Computation-style proofs of derivative rules use an approximation formula called the “local linearity formula.” The definite integral is developed through the idea of finding area using infinitely many subintervals and right-hand endpoints; the resulting “omega sums” are much easier than Riemann sums as a result of the “sum of powers approximation formula,” which also anticipates the Fundamental Theorem of Calculus by its resemblance to the antiderivative power rule. The limit comparison test is replaced by the “level comparison test,” which is so widely applicable and computationally simple that strategy for testing series is noticeably less difficult. Although infinitesimal methods are used for any mathematical process involving a limit, the remainder of the text uses the standard methods of calculus. Organization is similar to other college-level calculus texts. Features include ample marginal notes, examples, illustrations, and answers to odd-numbered exercises.
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37

Anderson, James A. After Digital. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.001.0001.

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We are surrounded by digital computers. They do many things well that humans do not and have transformed our lives. But all computers are not the same. Although digital computers dominate today’s world, alternative ways to “compute” might be better and more efficient than digital computation when mechanically performing those tasks, important to humans, that we think of as “cognition.” Cognition, after all, was originally developed to work with our own specific biological hardware. Digital computers require elaborate detailed instructions to work; they are flexible but not simple. Analog computers are designed to do specific tasks. They can be simple but not flexible. Hardware matters. The book discusses two classic kinds of computer, digital and analog, and gives examples of their history, functions, and limitations. The author suggest that when brain “hardware,” with its associated brain “software” work together, it could form a computer architecture that would be useful for the efficient performance of cognitive tasks. This book discusses the essentials of brain hardware—in particular, the cerebral cortex, where cognition lives—and how cortical structure can influence the form taken by the computational operations underlying cognition. Topics include association, understanding complex systems through analogy, formation of abstractions, and the biology of number and its use in arithmetic and mathematics. The author introduces novel “brain-like” control mechanisms: active associative search and traveling waves. There is discussion on computing across scales of organization from single neurons to brain regions containing millions of neurons.
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38

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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39

Leleur, Steen. Complex Strategic Choices: Applying Systemic Planning for Strategic Decision Making. Springer London, Limited, 2014.

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40

Arnaudo, Dan. Brazil. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190931407.003.0007.

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Computational propaganda can take the form of automated accounts (bots) spreading information, algorithmic manipulation, and fake news to shape public opinion, among other methods. These techniques are being used in combination with the analysis and usage of large data sets of information about citizens held by corporations and governments. This form of propaganda is spreading to countries all over the world, most notably during the 2016 US presidential elections and the run-up to the UK’s referendum to leave the European Union (Brexit). This chapter examines the use of computational propaganda in Brazil, by looking at three recent cases: the 2014 presidential elections, the impeachment of former president Dilma Rousseff, and the 2016 municipal elections in Rio de Janeiro. It examines the legal framework governing the Internet and the electoral process online, particularly how this process relates to computational propaganda. It also seeks to understand how bots are involved in multifarious economic and political themes, and in ongoing debates in the country about corruption, privatization, and social and economic reform. Through a collection and analysis of hashtags related to major investigations into corruption in politics, as well as to proposed reforms to social support systems and the protests related to them, the chapter identifies bots that are involved in these debates and how they operate. Finally, it looks at potential responses to this kind of propaganda, from legal, technical, and organizational perspectives, as well as indications of future trends in the use of these techniques in Brazilian society and politics.
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41

Sukhomlin, Vladimir, Elena Zubareva, Dmitry Namiot, and Aleksey Yakushin. System for the Development of Digital Skills MSU Faculty of Computational Mathematics and Cybernetics &Base ALT. LCC MAKS Press, 2022. http://dx.doi.org/10.29003/m2575.978-5-317-06336-8.

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The book explores the analysis of modern methodological solutions and standards regarding the classification and description of professional roles (skills / competencies / professions / profiles) in the field of information technology, as well as the analysis of similar aspects related to educational system tools for the development of IT skills / competencies, namely, educational programs and resources. The concept of skills and, above all, digital skills, is becoming dominant in human resources management, and the task of developing the skills necessary to participate in the digital economy and digital society is becoming one of the most important tasks of modern society. It requires the organization of processes for identifying relevant general and specialized digital skills and the organization of educational processes for teaching these skills through the development of the educational and training systems potential, using tools of additional education, lifelong learning and training in the workplace. These studies were carried out as part of the development work to create a system for the development of digital skills in demand in the digital economy, based on formal university education, as well as various forms of additional education, including the participation of employers. This made it possible to substantiate and develop fundamental solutions for creating a system for the development of digital skills, focused on the training of highly qualified specialists, innovative and scientific personnel (digital talents) in the field of computer and information sciences and their applications. In this regard, the authors hope that the research they have performed will be useful to all professionals engaged in solving the problems of personnel management, project management, developing educational and professional standards, developing educational programs and resources for the development of relevant digital skills, as well as all professionals and those who aspires to this, since in the book the reader will find the system of the modern landscape of the IT labor market.
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42

Bever, Thomas G. The Unity of Consciousness and the Consciousness of Unity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0005.

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Every language-learning child eventually automatically segments the organization of word sequences into natural units. Within the natural units, processing of normal conversation reveals a disconnect between listener’s representation of the sound and meaning of utterances. A compressed or absent word at a point early in a sequence is unintelligible until later acoustic information, yet listeners think they perceived the earlier sounds and their interpretation as they were heard. This discovery has several implications: Our conscious unified experience of language as we hear and simultaneously interpret it is partly reconstructed in time-suspended “psychological moments”; the “poverty of the stimulus language learning problem” is far graver than usually supposed; the serial domain where such integration occurs may be the “phase,” which unifies the serial percept with structural assignment and meanings; every level of language processing overlaps with others in a “computational fractal”; each level analysis-by-synthesis interaction of associative-serial and structure dependent processes.
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43

Helbing, Dirk. Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior. Springer, 2012.

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44

Helbing, Dirk. Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior. Springer Berlin / Heidelberg, 2014.

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45

Heaton, Brenda, Abdulrahman El-Sayed, and Sandro Galea. Agent-Based Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190843496.003.0005.

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Agent-based modeling is a newer approach to the study of neighborhoods and health. In brief, an agent-based model is one of a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities, such as organizations or groups) with a view to assessing their effects on the system as a whole. Neighborhood characteristics and resources evolve and adapt as the individuals living within them change and vice versa. In this way, neighborhoods reflect a complex adaptive system. In this chapter, we introduce agent-based models as a tool for modeling these interactive and adaptive processes that occur within a system, such as a neighborhood. The chapter provides a basic introduction to this method, drawing on examples from the neighborhoods and health literature.
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46

Peter M.A. Sloot (Editor), David Abramson (Editor), Alexander V. Bogdanov (Editor), Jack J. Dongarra (Editor), Albert Y. Zomaya (Editor), and Yuriy E. Gorbachev (Editor), eds. Computational Science - ICCS 2003: International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003. Proceedings, Part III (Lecture Notes in Computer Science). Springer, 2003.

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47

Computational Science - ICCS 2003: International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003. Proceedings, Part IV (Lecture Notes in Computer Science). Springer, 2003.

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48

Kockelman, Paul. Lines Crossed and Circles Breached. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190636531.003.0001.

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This chapter lays out the key moves, and organizational logic, of the entire book. It argues that, rather than privileging mere ‘relations’, our analysis must foreground a particular ensemble of relations between relations if we are to properly understand the following modes of mediation: semiotic processes, semiological structures, agentive practices, environment-organism interfaces, communicative channels, social relations, and parasitic encounters. And it shows the ways such modes of mediation get computationally enclosed through processes that automate, format and network them, such that their meaningfulness is made to seem relatively portable: applicable to many contents and applicable across many contexts. It reviews and reworks several key ideas of Charles Sanders Peirce, the founder of American pragmatism. And it summarizes each of the chapters, highlighting key themes, arguments, and interlocutors.
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49

Di Paolo, Ezequiel, Thomas Buhrmann, and Xabier Barandiaran. Sensorimotor Life. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198786849.001.0001.

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This book elaborates a series of contributions to a non–representational theory of action and perception. It is based on current theoretical developments in the enactive approach to life and mind. These enactive ideas are applied and extended to provide a theoretically rich, naturalistic account of sensorimotor meaning and agency. This account supplies non–representational extensions to the sensorimotor approach to perceptual experience based on the notion of the living body as a self–organizing dynamic system in coupling with the environment. The enactive perspective entails the use of world–involving explanations, in which processes external to an agent co–constitute mental phenomena in ways that cannot be reduced to the supply of information for internal processing. These contributions to sensorimotor theories are a dynamical–systems description of different types of sensorimotor regularities or sensorimotor contingencies, a dynamical interpretation of Piaget's theory of equilibration to ground the concept of sensorimotor mastery, and a theory of agency as organized networks of sensorimotor schemes, with its implications for sensorimotor subjectivity. New tools are provided for examining the organization, development, and operation of networks of sensorimotor schemes that compose regional activities and genres of action with their own situated norms. This permits the exploration of new explanations for the phenomenology of agency experience that are favorably contrasted with traditional computational approaches and lead to new empirical predictions. From these proposals, capabilities once beyond the reach of enactive explanations, such as the possibility of virtual actions and the adoption of socially mediated abstract perceptual attitudes, can be addressed.
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50

Raynal, Michel. Concurrent Programming: Algorithms, Principles, and Foundations. Springer, 2012.

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