Results for 'complex systems'

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  1.  91
    The Complex Systems Approach: Rhetoric or Revolution.Chris Eliasmith - 2012 - Topics in Cognitive Science 4 (1):72-77.
    The complex systems approach (CSA) to characterizing cognitive function is purported to underlie a conceptual and methodological revolution by its proponents. I examine one central claim from each of the contributed papers and argue that the provided examples do not justify calls for radical change in how we do cognitive science. Instead, I note how currently available approaches in ‘‘standard’’ cognitive science are adequate (or even more appropriate) for understanding the CSA provided examples.
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  2.  30
    Complex Systems in Aesthetics and Arts.Juan Romero, Colin Johnson & Jon McCormack - 2019 - Complexity 2019:1-2.
    The arts are one of the most complex of human endeavours, and so it is fitting that a special issue on Complex Systems in Aesthetics and Arts is being published. As the editors of this special issue, we would like to thank the reviewers of the submitted papers for their hard work in making this issue possible, as well as the authors who submitted their work and were very responsive to the comments of the reviewers and editors.
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  3.  90
    Complex systems and renormalization group explanations.Margaret Morrison - 2014 - Philosophy of Science 81 (5):1144-1156.
    Despite the close connection between the central limit theorem and renormalization group (RG) methods, the latter should be considered fundamentally distinct from the kind of probabilistic framework associated with statistical mechanics, especially the notion of averaging. The mathematics of RG is grounded in dynamical systems theory rather than probability, which raises important issues with respect to the way RG generates explanations of physical phenomena. I explore these differences and show why RG methods should be considered not just calculational tools (...)
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  4. A complex systems theory of teleology.Wayne Christensen - 1996 - Biology and Philosophy 11 (3):301-320.
    Part I [sections 2–4] draws out the conceptual links between modern conceptions of teleology and their Aristotelian predecessor, briefly outlines the mode of functional analysis employed to explicate teleology, and develops the notion of cybernetic organisation in order to distinguish teleonomic and teleomatic systems. Part II is concerned with arriving at a coherent notion of intentional control. Section 5 argues that intentionality is to be understood in terms of the representational properties of cybernetic systems. Following from this, section (...)
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  5. Complex systems, trade‐offs, and theoretical population biology: Richard Levin's “strategy of model building in population biology” revisited.Jay Odenbaugh - 2003 - Philosophy of Science 70 (5):1496-1507.
    Ecologist Richard Levins argues population biologists must trade‐off the generality, realism, and precision of their models since biological systems are complex and our limitations are severe. Steven Orzack and Elliott Sober argue that there are cases where these model properties cannot be varied independently of one another. If this is correct, then Levins's thesis that there is a necessary trade‐off between generality, precision, and realism in mathematical models in biology is false. I argue that Orzack and Sober's arguments (...)
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  6. Complex Systems Approach to the Hard Problem of Consciousness.Sahana Rajan - manuscript
    Consciousness has been the bone of contention for philosophers throughout centuries. Indian philosophy largely adopted lived experience as the starting point for its explorations of consciousness. For this reason, from the very beginning, experience was an integral way of grasping consciousness, whose validity as a tool was considered self-evident. Thus, in Indian philosophy, the question was not to move from the brain to mind but to understand experience of an individual and how such an experience is determined through mental structures (...)
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  7. What is a complex system?James Ladyman, James Lambert & Karoline Wiesner - 2013 - European Journal for Philosophy of Science 3 (1):33-67.
    Complex systems research is becoming ever more important in both the natural and social sciences. It is commonly implied that there is such a thing as a complex system, different examples of which are studied across many disciplines. However, there is no concise definition of a complex system, let alone a definition on which all scientists agree. We review various attempts to characterize a complex system, and consider a core set of features that are widely (...)
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  8.  2
    Complex systems, trade-offs and mathematical modeling: a response to Sober and Orzack.Jay Odenbaugh - 2003 - Philosophy of Science 70 (5):1496-1507.
    Ecologist Richard Levins argues population biologists must trade-off the generality, realism, and precision of their models since biological systems are complex and our limitations are severe. Steven Orzack and Elliott Sober argue that there are cases where these model properties cannot be varied independently of one another. If this is correct, then Levins's thesis that there is a necessary trade-off between generality, precision, and realism in mathematical models in biology is false. I argue that Orzack and Sober's arguments (...)
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  9.  53
    Modeling complex systems macroscopically: Case/agent‐based modeling, synergetics, and the continuity equation.Rajeev Rajaram & Brian Castellani - 2013 - Complexity 18 (2):8-17.
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  10. Are complex systems hard to evolve?Andy Adamatzky & Larry Bull - 2009 - Complexity 14 (6):15-20.
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  11. Complex systems from the perspective of category theory: II. Covering systems and sheaves.Elias Zafiris - 2005 - Axiomathes 15 (2):181-190.
    Using the concept of adjunction, for the comprehension of the structure of a complex system, developed in Part I, we introduce the notion of covering systems consisting of partially or locally defined adequately understood objects. This notion incorporates the necessary and sufficient conditions for a sheaf theoretical representation of the informational content included in the structure of a complex system in terms of localization systems. Furthermore, it accommodates a formulation of an invariance property of information communication (...)
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  12.  42
    Must Complex Systems Theory Be Materialistic?Horace Fairlamb - 2012 - Foundations of Science 17 (1):1-3.
    So far, the sciences of complexity have received less attention from philosophers than from scientists. Responding to Salthe’s (Found Sci 15, 4(6):357–367, 2010a ) model of evolution, I focus on its metaphysical implications, asking whether the implications of his canonical developmental trajectory (CDT) must be materialistic as his reading proposes.
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  13.  49
    Complex Systems Theory and Development Practice: Understanding Non-Linear Realities.Samir Rihani - 2002 - Zed Books.
    Here, for the first time, development studies encounters the set of ideas popularly known as 'Chaos Theory'. Samir Rihani applies to the processes of economic development, ideas from complex adaptive systems like uncertainty, complexity, and unpredictability. Rihani examines various aspects of the development process - including the World Bank, debt, and the struggle against poverty - and demonstrates the limitations of fundamentally linear thinking in an essentially non-linear world.
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  14.  22
    Complex Systems, Modelling and Simulation.Sam Schweber & Matthias Wächter - 2000 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 31 (4):583-609.
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  15.  21
    Putting complex systems to work.Russ Abbott - 2007 - Complexity 13 (2):30-49.
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  16. Network representation and complex systems.Charles Rathkopf - 2018 - Synthese (1).
    In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful in explaining the (...)
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  17. Complex systems studies.G. Rzevski & C. A. Brebbia (eds.) - 2018 - Boston: WIT Press.
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  18. Predicting complex systems with a holistic approach: The “throughput” criterion.Alfred W. Hübler - 2005 - Complexity 10 (3):11-16.
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  19. Complex systems: Network thinking.Melanie Mitchell - 2006 - Artificial Intelligence 170 (18):1194-1212.
  20.  34
    Understanding complex systems: Defining an abstract concept.Alfred W. Hübler - 2007 - Complexity 12 (5):9-11.
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  21.  10
    Complex systems engineering: Putting complex systems to work.Russ Abbott - 2007 - Complexity 13 (2):10-11.
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  22.  17
    A complex system approach to language evolution.Francesca Colaiori & Francesca Tria - 2020 - Evolutionary Linguistic Theory 2 (2):118-126.
    Regularities in natural language systems, despite their cognitive advantages in terms of storage and learnability, often coexist with exceptions, raising the question of whether and why irregularities survive. We offer a complex system perspective on this issue, focusing on the irregular past tense forms in English. Two separate processes affect the overall regularity: new verbs constantly entering the vocabulary in the regular form at low frequency, and transitions in both directions occurring in a narrow frequency range. The introduction (...)
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  23. The compatibility of complex systems and reduction: A case analysis of memory research. [REVIEW]William Bechtel - 2001 - Minds and Machines 11 (4):483-502.
    Some theorists who emphasize the complexity of biological and cognitive systems and who advocate the employment of the tools of dynamical systems theory in explaining them construe complexity and reduction as exclusive alternatives. This paper argues that reduction, an approach to explanation that decomposes complex activities and localizes the components within the complex system, is not only compatible with an emphasis on complexity, but provides the foundation for dynamical analysis. Explanation via decomposition and localization is nonetheless (...)
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  24. Social Emergence: Societies as Complex Systems.R. Keith Sawyer - 2005 - Cambridge University Press.
    Can we understand important social issues by studying individual personalities and decisions? Or are societies somehow more than the people in them? Sociologists have long believed that psychology can't explain what happens when people work together in complex modern societies. In contrast, most psychologists and economists believe that if we have an accurate theory of how individuals make choices and act on them, we can explain pretty much everything about social life. Social Emergence takes a new approach to these (...)
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  25. Complexity and Postmodernism: Understanding Complex Systems.Paul Cilliers - 1998 - Routledge.
    Complexity and Postmodernism explores the notion of complexity in the light of contemporary perspectives from philosophy and science. The book integrates insights from complexity and computational theory with the philosophical position of thinkers including Derrida and Lyotard. Paul Cilliers takes a critical stance towards the use of the analytical method as a tool to cope with complexity, and he rejects Searle's superficial contribution to the debate.
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  26.  12
    Ideological Complex Systems: Mathematical Theory.Josué Antonio Nescolarde-Selva, José Luis Usó-Doménech & Miguel Lloret-Climent - 2016 - Complexity 21 (2):47-65.
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  27.  51
    Complex systems and educational change: Towards a new research agenda.Jay L. Lemke & Nora H. Sabelli - 2008 - Educational Philosophy and Theory 40 (1):118–129.
    How might we usefully apply concepts and procedures derived from the study of other complex dynamical systems to analyzing systemic change in education? In this article we begin to define possible agendas for research toward developing systematic frameworks and shared terminology for such a project. We illustrate the plausibility of defining such frameworks and raise the question of the relation between such frameworks and the crucial task of aggregating data across ‘systemic experiments’, such as those conducted under the (...)
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  28.  20
    Why complex systems engineering needs biological development.W. Banzhaf & N. Pillay - 2007 - Complexity 13 (2):12-21.
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  29. Complex systems from the perspective of category theory: I. Functioning of the adjunction concept.Elias Zafiris - 2005 - Axiomathes 15 (1):147-158.
    We develop a category theoretical scheme for the comprehension of the information structure associated with a complex system, in terms of families of partial or local information carriers. The scheme is based on the existence of a categorical adjunction, that provides a theoretical platform for the descriptive analysis of the complex system as a process of functorial information communication.
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  30. Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data.Yan Zhang, M. M. Kamruzzaman & Lu Feng - 2021 - Complexity 2021:1-10.
    Nowadays, the development of big data is getting faster and faster, and the related research on motion sensing recognition and complex systems under the background of big data is gradually being valued. At present, there are relatively few related researches on vertical Baduanjin in the academic circles; research in this direction can make further breakthroughs in motion sensor recognition. In order to carry out related action recognition research on the lifting action of vertical Baduanjin, this paper uses sensor (...)
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  31.  34
    Surrealist complex systems, parallel biology and the greening of architecture.Neil Spiller - 2009 - Technoetic Arts 7 (2):75-78.
    Systems architecture and its associated parallel biology generate architectural forms that are both green and surreal by nature. The connection between systems architecture and Leo Lionni's fantastic book Parallel Botany are considered as architects are now starting to have the ability to create great works of biological parallelism using technologies that are highly sur real, they are on top of the real.
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  32.  18
    Understanding complex systems: Networks.Alfred W. Hübler - 2005 - Complexity 10 (3):17-17.
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  33.  18
    Complex systems and human movement.Gottfried Mayer-Kress, Yeou-Teh Liu & Karl M. Newell - 2006 - Complexity 12 (2):40-51.
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  34.  69
    Complex systems, evolution, and animal models.Ray Greek & Niall Shanks - 2011 - Studies in History and Philosophy of Science Part A 42 (4):542-544.
  35.  20
    Complex systems as key drivers for the emergence of a resource-and capability-based interorganizational network.Giovanni Battista Dagnino - 2004 - Emergence: Complexity and Organization 6.
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  36.  11
    Complex Systems, Imitation, and Mythical Explanations.António Machuco Rosa - 2003 - Contagion: Journal of Violence, Mimesis, and Culture 10 (1):161-181.
  37.  11
    Complex systems in drug research: I. The chemical levels.Bernard Testa & Lemont B. Kier - 1996 - Complexity 1 (4):29-36.
  38. Analysis of minimal complex systems and complex problem solving require different forms of causal cognition.Joachim Funke - 2014 - Frontiers in Psychology 5.
    In the last 20 years, a stream of research emerged under the label of „complex problem solving“ (CPS). This research was intended to describe the way people deal with complex, dynamic, and intransparent situations. Complex computer-simulated scenarios were as stimulus material in psychological experiments. This line of research lead to subtle insights into the way how people deal with complexity and uncertainty. Besides these knowledge-rich, realistic, intransparent, complex, dynamic scenarios with many variables, a second line of (...)
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  39.  90
    Change and identity in complex systems.John Collier - unknown
    Complex systems are dynamic and may show high levels of variability in both space and time. It is often difficult to decide on what constitutes a given complex system, i.e., where system boundaries should be set, and what amounts to substantial change within the system. We discuss two central themes: the nature of system definitions and their ability to cope with change, and the importance of system definitions for the mental metamodels that we use to describe and (...)
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  40.  40
    Multiscale variety in complex systems.Yaneer Bar-Yam - 2004 - Complexity 9 (4):37-45.
    The standard assumptions that underlie many conceptual and quantitative frameworks do not hold for many complex physical, biological, and social systems. Complex systems science clarifies when and why such assumptions fail and provides alternative frameworks for understanding the properties of complex systems. This review introduces some of the basic principles of complex systems science, including complexity profiles, the tradeoff between efficiency and adaptability, the necessity of matching the complexity of systems to (...)
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  41. Complex systems and effective interaction.James Genone & Ian Van Buskirk - 2017 - In Stephen Michael Kosslyn, Ben Nelson & Robert Kerrey (eds.), Building the intentional university: Minerva and the future of higher education. The MIT Press.
     
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  42. 4 Complex systems methods in cognitive systems and the representation of environmental information.Philip Van Loocke - 1999 - In Philip R. Loockvane (ed.), The Nature of Concepts: Evolution, Structure, and Representation. Routledge.
  43.  6
    Chaotic Logic: Language, Thought, and Reality from the Perspective of Complex Systems Science.Ben Goertzel - 1994 - Springer Verlag.
    This is the first work to apply complex systems science to the psychological interplay of order and chaos. The author draws on thought from a wide range of disciplines-both conventional and unorthodox-to address such questions as the nature of consciousness, the relation between mind and reality, and the justification of belief systems. The material should provoke thought among systems scientists, theoretical psychologists, artificial intelligence researchers, and philosophers.
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  44.  33
    From Complex System to Integrative Science.Yoshiaki Ikeda - 2010 - Diogenes 57 (3):117-133.
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  45.  15
    Complex systems in Renaissance and Postmodern texts: Aesthetic and epistemological consequences.Yona Dureau - 2008 - Semiotica 2008 (171):311-341.
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  46. Complexity and Postmodernism: Understanding Complex Systems.Paul Cilliers - 1998 - Routledge.
    In _Complexity and Postmodernism_, Paul Cilliers explores the idea of complexity in the light of contemporary perspectives from philosophy and science. Cilliers offers us a unique approach to understanding complexity and computational theory by integrating postmodern theory into his discussion. _Complexity and Postmodernism_ is an exciting and an original book that should be read by anyone interested in gaining a fresh understanding of complexity, postmodernism and connectionism.
     
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  47.  11
    Complex systems, governance and policy administration consequences.Jack W. Meek, Joe De Ladurantey & William H. Newell - 2007 - Emergence: Complexity and Organization 9.
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  48.  14
    Re-modelling scientific change: complex systems frames innovative problem solving.Cliff Hooker - 2018 - Lato Sensu: Revue de la Société de Philosophie des Sciences 5 (1):4-12.
    Complex systems are used, studied and instantiated in science, with what con-sequences? To be clear and systematic in response it is necessary to distin-guish the consequences, for science, of science using and studying complex systems, for philosophy of science, of science using and studying complex systems, for philosophy of science, of philosophy of science modelling sci-ence as a complex system. Each of these is explored in turn, especially. While has been least studied, it (...)
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  49.  29
    Stability of democracies: a complex systems perspective.Karoline Wiesner, A. Birdi, T. Eliassi-Rad, H. Farrell, D. Garcia, S. Lewandowsky, Patricia Palacios, Don Ross, D. Sornette & Karim P. Y. Thebault - 2019 - European Journal of Physics 40 (1).
    The idea that democracy is under threat, after being largely dormant for at least 40 years, is looming increasingly large in public discourse. Complex systems theory offers a range of powerful new tools to analyse the stability of social institutions in general, and democracy in particular. What makes a democracy stable? And which processes potentially lead to instability of a democratic system? This paper offers a complex systems perspective on this question, informed by areas of the (...)
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  50. Introduction to philosophy of complex systems: A: part A: towards a framework for complex systems.Cliff Hooker - unknown
    Every essay in this book is original, often highly original, and they will be of interest to practising scientists as much as they will be to philosophers of science — not least because many of the essays are by leading scientists who are currently creating the emerging new complex systems paradigm. This is no accident. The impact of complex systems on science is a recent, ongoing and profound revolution. But with a few honourable exceptions, it has (...)
     
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