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. 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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  3.  78
    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. 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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  6. 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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  7. 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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  8. Predicting Complex Systems with a Holistic Approach: The “Throughput” Criterion.Alfred W. Hübler - 2005 - Complexity 10 (3):11-16.
  9.  99
    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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  10.  39
    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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  11.  29
    Understanding Complex Systems: Defining an Abstract Concept.Alfred W. Hübler - 2007 - Complexity 12 (5):9-11.
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  12. Complex Systems: Network Thinking.Melanie Mitchell - 2006 - Artificial Intelligence 170 (18):1194-1212.
  13.  11
    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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  14.  36
    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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  15.  84
    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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  16. 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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  17.  19
    Why Complex Systems Engineering Needs Biological Development.W. Banzhaf & N. Pillay - 2007 - Complexity 13 (2):12-21.
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  18.  70
    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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  19.  13
    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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  20.  14
    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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  21.  3
    Philosophy of Complex Systems (Handbook of the Philosophy of Science, Vol. 10).Cliff Hooker (ed.) - 2011 - North Holland.
    The domain of nonlinear dynamical systems and its mathematical underpinnings has been developing exponentially for a century, the last 35 years seeing an outpouring of new ideas and applications and a concomitant confluence with ideas of complex systems and their applications from irreversible thermodynamics. A few examples are in meteorology, ecological dynamics, and social and economic dynamics. These new ideas have profound implications for our understanding and practice in domains involving complexity, predictability and determinism, equilibrium, control, planning, (...)
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  22.  5
    Foundations of Complex-System Theories In Economics, Evolutionary Biology, and Statistical Physics.Sunny Auyang (ed.) - 1998 - Cambridge University Press.
  23.  63
    Mechanisms in Dynamically Complex Systems.Meinard Kuhlmann - 2011 - In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press.
    In recent debates mechanisms are often discussed in the context of ‘complex systems’ which are understood as having a complicated compositional structure. I want to draw the attention to another, radically different kind of complex system, in fact one that many scientists regard as the only genuine kind of complex system. Instead of being compositionally complex these systems rather exhibit highly non-trivial dynamical patterns on the basis of structurally simple arrangements of large numbers of (...)
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  24.  67
    Complex Systems, Evolution, and Animal Models.Ray Greek & Niall Shanks - 2011 - Studies in History and Philosophy of Science Part A 42 (4):542-544.
  25.  18
    Understanding Complex Systems: Networks.Alfred W. Hübler - 2005 - Complexity 10 (3):17-17.
  26.  17
    Complex Systems and Human Movement.Gottfried Mayer-Kress, Yeou-Teh Liu & Karl M. Newell - 2006 - Complexity 12 (2):40-51.
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  27.  23
    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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  28. Are Complex Systems Hard to Evolve?Andy Adamatzky & Larry Bull - 2009 - Complexity 14 (6):15-20.
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  29. The Evolutionary Dynamics of Complex Systems.C. Dyke - 1988 - Oxford University Press.
  30.  49
    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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  31.  19
    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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  32.  16
    Resilience of Complex Systems: State of the Art and Directions for Future Research.Luca Fraccascia, Ilaria Giannoccaro & Vito Albino - 2018 - Complexity 2018:1-44.
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  33.  5
    Individuality in Complex Systems: A Constructionist Approach.Lynn Anthonissen & Peter Petré - 2020 - Cognitive Linguistics 31 (2):185-212.
    For a long time, linguists more or less denied the existence of individual differences in grammatical knowledge. While recent years have seen an explosion of research on individual differences, most usage-based research has failed to address this issue and has remained reluctant to study the synergy between individual and community grammars. This paper focuses on individual differences in linguistic knowledge and processing, and examines how these differences can be integrated into a more comprehensive constructionist theory of grammar. The examination is (...)
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  34. 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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  35.  15
    Complex Systems in Renaissance and Postmodern Texts: Aesthetic and Epistemological Consequences.Yona Dureau - 2008 - Semiotica 2008 (171):311-341.
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  36.  49
    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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  37.  33
    From Complex System to Integrative Science.Yoshiaki Ikeda - 2010 - Diogenes 57 (3):117-133.
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  38.  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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  39.  21
    Putting Complex Systems to Work.Russ Abbott - 2007 - Complexity 13 (2):30-49.
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  40. A Semiotic Approach to Complex Systems.Harald Atmanspacher - manuscript
    A key topic in the work of Burghard Rieger is the notion of meaning. To explore this notion, he and his collaborators developed a most sophisticated approach combining theoretical ideas and concepts of semiotics with empirical and numerical tools of computational linguistics. In the present contribution, relations of Rieger’s achievements to some issues of interest in the physics and philosophy of complex systems will be addressed.
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  41.  10
    Complex Systems Engineering: Putting Complex Systems to Work.Russ Abbott - 2007 - Complexity 13 (2):10-11.
  42.  84
    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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  43.  71
    Self-Organization and Irreducibly Complex Systems: A Reply to Shanks and Joplin.Michael J. Behe - 2000 - Philosophy of Science 67 (1):155-162.
    Some biochemical systems require multiple, well-matched parts in order to function, and the removal of any of the parts eliminates the function. I have previously labeled such systems "irreducibly complex," and argued that they are stumbling blocks for Darwinian theory. Instead I proposed that they are best explained as the result of deliberate intelligent design. In a recent article Shanks and Joplin analyze and find wanting the use of irreducible complexity as a marker for intelligent design. Their (...)
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  44.  8
    Past the Power Law: Complex Systems and the Limiting Law of Restricted Diversity.Brian Castellani & Rajeev Rajaram - 2016 - Complexity 21 (S2):99-112.
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  45.  4
    Complex Systems in Drug Research: II. The Ligand-Active Site-Water Confluence as a Complex System.Lemont B. Kier & Bernard Testa - 1996 - Complexity 1 (4):37-42.
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  46.  22
    Introduction to Philosophy of Complex Systems: Part B: Scientific Paradigm + Philosophy of Science for Complex Systems: A First Presentation C. 2009.Cliff Hooker - unknown
    Pursuit of every scientific framework — that is, of a paradigm and philosophy for science — is underwritten by a practical act of faith that its cognitive apparatus — including concepts, classes of models and underlying mathematics, and experimental instruments, techniques and interpretations — is adequate to understand the domain concerned. The focus of this essay is the consequences of the cognitive apparatus of complex systems for methodology, epistemology and metaphysics.
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  47. Complex Systems, Trade-Offs and Mathematical Modeling: A Response to Sober and Orzack.Jay Odenbaugh - 2003 - Philosophy of Science 70 (5):1496-1507.
  48.  11
    Comment on “Resilience of Complex Systems: State of the Art and Directions for Future Research”.Steven J. Lade & Garry D. Peterson - 2019 - Complexity 2019:1-4.
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  49. Autonomous Systems and the Place of Biology Among Sciences. Perspectives for an Epistemology of Complex Systems.Leonardo Bich - 2021 - In Gianfranco Minati (ed.), Multiplicity and Interdisciplinarity. Essays in Honor of Eliano Pessa. Springer. pp. 41-57.
    This paper discusses the epistemic status of biology from the standpoint of the systemic approach to living systems based on the notion of biological autonomy. This approach aims to provide an understanding of the distinctive character of biological systems and this paper analyses its theoretical and epistemological dimensions. The paper argues that, considered from this perspective, biological systems are examples of emergent phenomena, that the biological domain exhibits special features with respect to other domains, and that biology (...)
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  50.  2
    Simple, Complex and Super-Complex System Ontology: Non-Abelian Biodynamics as a Paradigm Shift.I. C. Baianu & R. Poli - 2007 - Axiomathes 17 (3-4):209-222.
    An overview of the following three related papers in this issue presents the Emergence of Highly Complex Systems such as living organisms, man, society and the human mind from the viewpoint of the current Ontological Theory of Levels. The ontology of spacetime structures in the Universe is discussed beginning with the quantum level; then, the striking emergence of the higher levels of reality is examined from a categorical—relational and logical viewpoint. The ontological problems and methodology aspects discussed in (...)
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