Results for 'Complex adaptive systems'

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  1.  86
    Autism’s Direct Cause? Failure of Infant-Mother Eye Contact in a Complex Adaptive System.Maxson J. McDowell - 2010 - Biological Theory 5 (4):344-356.
    This article attempts to show why an experimental hypothesis is plausible and merits testing; in brief, the hypothesis is that autism begins with a failure in early learning and that changing the environment of early learning would dramatically change its incidence. Strong statistical evidence supporting this hypothesis has been published by Waldman et al. , but to date this evidence has largely been ignored, perhaps because it challenges prevalent beliefs about autism. This article also suggests that the current epidemic of (...)
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  2.  22
    Autism’s Direct Cause? Failure of Infant-Mother Eye Contact in a Complex Adaptive System.Maxson J. McDowell - 2010 - Biological Theory 5 (4):344-356.
    This article attempts to show why an experimental hypothesis is plausible and merits testing; in brief, the hypothesis is that autism begins with a failure in early learning and that changing the environment of early learning would dramatically change its incidence. Strong statistical evidence supporting this hypothesis has been published by Waldman et al., but to date this evidence has largely been ignored, perhaps because it challenges prevalent beliefs about autism. This article also suggests that the current epidemic of autism (...)
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  3.  85
    Eye-Contact and Complex Dynamic Systems: An Hypothesis on Autism's Direct Cause and a Clinical Study Addressing Prevention.Maxson J. McDowell - manuscript
    Estimates of autism’s incidence increased 5-10 fold in ten years, an increase which cannot be genetic. Though many mutations are associated with autism, no mutation seems directly to cause autism. We need to find the direct cause. Complexity science provides a new paradigm - confirmed in biology by extensive hard data. Both the body and the personality are complex dynamic systems which spontaneously self-organize from simple dynamic systems. Autism may therefore be caused by the failure of a (...)
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  4. Adaptive Intelligent Tutoring System for Learning Computer Theory.Mohammed A. Al-Nakhal & Samy S. Abu Naser - 2017 - EUROPEAN ACADEMIC RESEARCH 4 (10).
    In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...)
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  5.  64
    Adaptive Control Using Nonlinear Autoregressive-Moving Average-L2 Model for Realizing Neural Controller for Unknown Finite Dimensional Nonlinear Discrete Time Dynamical Systems.Mustefa Jibril, Mesay Tadesse & Nurye Hassen - 2021 - Journal of Engineering and Applied Sciences 16 (3):130-137.
    This study considers the problem of using approximate way for realizing the neural supervisor for nonlinear multivariable systems. The Nonlinear Autoregressive-Moving Average (NARMA) model is an exact transformation of the input-output behavior of finite-dimensional nonlinear discrete time dynamical organization in a hoodlum of the equilibrium state. However, it is not convenient for intention of adaptive control using neural networks due to its nonlinear dependence on the control input. Hence, quite often, approximate technique are used for realizing the neural (...)
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  6. The Complexity of Science.H. P. P. Lotter - 1999 - Koers 64 (4):499-520.
    In this article I present an alternative philosophy of science based on ideas drawn from the study of complex adaptive systems. As a result of the spectacular expansion in scientific disciplines, the number of scientists and scientific institutions in the twentieth century, I believe science can be characterised as a complex system. I want to interpret the processes of science through which scientists themselves determine what counts as good science. This characterisation of science as a (...) system can give an answer to the question why the sciences are so successful in solving growing numbers of problems and correcting their own mistakes. I utilise components of complexity theory to explain and interpret science as a complex system. I first explain the concept of complexity in ordinary language. The explanation of science as a complex system starts with a definition of the basic rules that guide the behaviour of science as a complex system. Next, I show how various sciences result through the implementation of these rules in the study of a specific aspect of reality. The explanation of the growth of science through evolutionary adaptation and learning forms the core of the article. (shrink)
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  7. ‘Restricted’ and ‘General’ Complexity Perspectives on Social Bilingualisation and Language Shift Processes.Albert Bastardas-Boada (ed.) - 2019 - Cham, Switzerland: Springer Nature Switzerland AG.
    Historical processes exert an influence on the current state and evolution of situations of language contact, brought to bear from different domains, the economic and the political, the ideological and group identities, geo-demographics, and the habits of inter-group use. Clearly, this kind of phenomenon requires study from a complexical and holistic perspective in order to accommodate the variety of factors that belong to different levels and that interrelate with one another in the evolving dynamic of human languaging. Therefore, there is (...)
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  8. What Makes Complex Systems Complex?Russ Abbott - 2018 - Journal on Policy and Complex Systems 4 (2):77-113.
    This paper explores some of the factors that make complex systems complex. We first examine the history of complex systems. It was Aristotle’s insight that how elements are joined together helps determine the properties of the resulting whole. We find (a) that scientific reductionism does not provide a sufficient explanation; (b) that to understand complex systems, one must identify and trace energy flows; and (c) that disproportionate causality, including global tipping points, are all (...)
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  9.  45
    Complexity, Diversity and the Role of the Public Sphere on the Internet.Nathan Eckstrand - 2019 - Philosophy and Social Criticism 46 (8):961-984.
    This article explores the relationship between deliberative democracy, the Internet, and systems theory’s thoughts on diversity. After introducing Habermas’s theory of deliberative democracy and how diversity fits into it, the article discusses various ideas about whether and how it could work on the Internet. Next, the article looks at research into diversity done in the field of complex adaptive systems, showing that diversity has both good and bad effects, but is clearly preferred for the purpose of (...)
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  10. Lightning in a Bottle: Complexity, Chaos, and Computation in Climate Science.Jon Lawhead - 2014 - Dissertation, Columbia University
    Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can (...)
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  11.  70
    Sagoff on Ecosystems as Self-Organizing Systems.Rachel Fredericks - 2013 - Ethics, Policy and Environment 16 (3):258-261.
    In “What Does Environmental Protection Protect?” Mark Sagoff argues that there is no ecological way to test the claim that natural ecosystems are complex adaptive systems. In this critical commentary, I recreate that argument, object to it, and attempt to clarify its normative upshot. I show that Sagoff relies on substantive assumptions about (1) the tools and methods of ecological science, (2) what can be done with those tools and methods, and (3) ecology’s being separable from other (...)
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  12. Ontological Complexity and Human Culture.D. J. Saab & F. Fonseca - forthcoming - In R. Hagengruber (ed.), Proceedings of Philosophy's Relevance in Information Science.
    Ontologies are being used by information scientists in order to facilitate the sharing of meaningful information. However, computational ontologies are problematic in that they often decontextualize information. The semantic content of information is dependent upon the context in which it exists and the experience through which it emerges. For true semantic interoperability to occur among diverse information systems, within or across domains, information must remain contextualized. In order to bring more context to computational ontologies, we introduce culture as an (...)
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  13.  87
    Adaptive ITS for Learning Computer Theory.Mohamed Nakhal & Bastami Bashhar - 2017 - European Academic Research 4 (10):8770-8782.
    In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...)
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  14.  45
    As a Stable Adaptive Strategy Homo Sapiens, Nbics Technology and Bioethics Became Evolution Mechanism (Anthropological and Biopolitical Essay).Valentin Cheshko - 2019 - Strategia Supraviețuirii Din Perspectiva Bioeticii, Antropologiei, Filosofiei Și Medicinei 25:20-23.
    The subject of the essay is the genesis of the evolutionary strategy of стратегииHomo sapiens(SESH)as a carrier element of the transformation of technology and ethics into the main factors of anthropogenesis and the evolution of complex, self-organizing human-dimension systems.
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  15. A Multi-Scale View of the Emergent Complexity of Life: A Free-Energy Proposal.Casper Hesp, Maxwell Ramstead, Axel Constant, Paul Badcock, Michael David Kirchhoff & Karl Friston - forthcoming - In Michael Price & John Campbell (eds.), Evolution, Development, and Complexity: Multiscale Models in Complex Adaptive Systems.
    We review some of the main implications of the free-energy principle (FEP) for the study of the self-organization of living systems – and how the FEP can help us to understand (and model) biotic self-organization across the many temporal and spatial scales over which life exists. In order to maintain its integrity as a bounded system, any biological system - from single cells to complex organisms and societies - has to limit the disorder or dispersion (i.e., the long-run (...)
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  16. Transparency in Complex Computational Systems.Kathleen A. Creel - 2020 - Philosophy of Science 87 (4):568-589.
    Scientists depend on complex computational systems that are often ineliminably opaque, to the detriment of our ability to give scientific explanations and detect artifacts. Some philosophers have s...
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  17. Seeing by Models: Vision as Adaptative Epistemology.Ignazio Licata - 2012 - In G. MInati (ed.), Methods, Models, Simulations and Approaches Towards a General Theory of Change. World Scientific.
    In this paper we suggest a clarification in relation to the notions of computational and intrinsic emergence, by showing how the latter is deeply connected to the new Logical Openness Theory, an original extension of Gödel theorems to the model theory. The epistemological scenario we are going to make use of is that of the theory of vision, a particularly instructive one. In order to reach our goal we introduce a dynamic theory of relationship between the observer and the observed (...)
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  18. The Logical Structure of the Cognitive Mechanisms Guiding Psychological Development.George Osborne - 1995 - Dissertation, University of Cambridge
    This Thesis presents a model of cognitive development inspired by Piaget's "Genetic Epistemology". It is observed that the epigenetic process described by Piaget posess mechanisms and behaviour that characterise complex adaptive systems. A model of bipedal motion based around the "Bucket Brigade" algorithm of Holland is presened to explore this relationship.
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  19. Local Complexity Adaptable Trajectory Partitioning Via Minimum Message Length.Charles R. Twardy - 2011 - In 18th IEEE International Conference on Image Processing. IEEE.
    We present a minimum message length (MML) framework for trajectory partitioning by point selection, and use it to automatically select the tolerance parameter ε for Douglas-Peucker partitioning, adapting to local trajectory complexity. By examining a range of ε for synthetic and real trajectories, it is easy to see that the best ε does vary by trajectory, and that the MML encoding makes sensible choices and is robust against Gaussian noise. We use it to explore the identification of micro-activities within a (...)
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  20. Agent-Based Computational Economics: A Constructive Approach to Economic Theory.Leigh Tesfatsion - 2006 - In Leigh Tesfatsion & Kenneth L. Judd (eds.), Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics. Elsevier.
    Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study of economic processes modeled (...)
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  21. On the Presence of Educated Religious Beliefs in the Public Sphere.Gheorghe-Ilie Farte - 2015 - Argumentum. Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric 13 (2):146-178.
    Discursive liberal democracy might not be the best of all possible forms of government, yet in Europe it is largely accepted as such. The attractors of liberal democracy (majority rule, political equality, reasonable self-determination and an ideological framework built in a tentative manner) as well as an adequate dose of secularization (according to the doctrine of religious restraint) provide both secularist and educated religious people with the most convenient ideological framework. Unfortunately, many promoters of ideological secularization take too strong a (...)
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  22.  46
    Getting Over Atomism: Functional Decomposition in Complex Neural Systems.Daniel C. Burnston - 2021 - British Journal for the Philosophy of Science 72 (3):743-772.
    Functional decomposition is an important goal in the life sciences, and is central to mechanistic explanation and explanatory reduction. A growing literature in philosophy of science, however, has challenged decomposition-based notions of explanation. ‘Holists’ posit that complex systems exhibit context-sensitivity, dynamic interaction, and network dependence, and that these properties undermine decomposition. They then infer from the failure of decomposition to the failure of mechanistic explanation and reduction. I argue that complexity, so construed, is only incompatible with one notion (...)
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  23. Self-Organization, Emergence, and Constraint in Complex Natural Systems.Jon Lawhead - manuscript
    Contemporary complexity theory has been instrumental in providing novel rigorous definitions for some classic philosophical concepts, including emergence. In an attempt to provide an account of emergence that is consistent with complexity and dynamical systems theory, several authors have turned to the notion of constraints on state transitions. Drawing on complexity theory directly, this paper builds on those accounts, further developing the constraint-based interpretation of emergence and arguing that such accounts recover many of the features of more traditional accounts. (...)
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  24. Systems Theory and Complexity.Arran Gare - 2000 - Democracy and Nature 6 (3):327-339.
    In this paper the central ideas and history of the theory of complex systems are described. It is shown how this theory lends itself to different interpretations and, correspondingly, to different political conclusions.
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  25. What is a Hologenomic Adaptation? Emergent Individuality and Inter-Identity in Multispecies Systems.Javier Suárez & Vanessa Triviño - 2020 - Frontiers in Psychology 187 (11).
    Contemporary biological research has suggested that some host–microbiome multispecies systems (referred to as “holobionts”) can in certain circumstances evolve as unique biological individual, thus being a unit of selection in evolution. If this is so, then it is arguably the case that some biological adaptations have evolved at the level of the multispecies system, what we call hologenomic adaptations. However, no research has yet been devoted to investigating their nature, or how these adaptations can be distinguished from adaptations at (...)
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  26. 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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  27.  22
    Human Augmentation and the Age of the Transhuman.James Hughes - 2018 - In Tony Prescott, Nathan Lepora & Paul Verschure (eds.), Living Machines: A Handbook of Research in Biomimetic and Biohybrid Systems. Oxford: Oxford University Press.
    Human augmentation is discussed in three axes: the technological means, the ability being augmented, and the social systems that will be affected. The technological augmentations considered range from exocortical information and communication systems, to pharmaceuticals, tissue and genetic engineering, and prosthetic limbs and organs, to eventually nanomedical robotics, brain-computer interfaces and cognitive prostheses. These technologies are mapped onto the capabilities which we are in the process of enabling and augmenting, which include extending longevity and physical, sensory and cognitive (...)
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  28. 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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  29.  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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  30. How Do Narratives and Brains Mutually Influence Each Other? Taking Both the ‘Neuroscientific Turn’ and the ‘Narrative Turn’ in Explaining Bio-Political Orders.Machiel Keestra - manuscript
    Introduction: the neuroscientific turn in political science The observation that brains and political orders are interdependent is almost trivial. Obviously, political orders require brain processes in order to emerge and to remain in place, as these processes enable action and cognition. Conversely, every since Aristotle coined man as “by nature a political animal” (Aristotle, Pol.: 1252a 3; cf. Eth. Nic.: 1097b 11), this also suggests that the political engagements of this animal has likely consequences for its natural development, including the (...)
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  31. From Silico to Vitro: Computational Models of Complex Biological Systems Reveal Real-World Emergent Phenomena.Orly Stettiner - 2014 - In Vincent C. Muller (ed.), Computing and Philosophy, Selected Papaers from IACAP 2014. Springer. pp. 133-147.
    Computer simulations constitute a significant scientific tool for promoting scientific understanding of natural phenomena and dynamic processes. Substantial leaps in computational force and software engineering methodologies now allow the design and development of large-scale biological models, which – when combined with advanced graphics tools – may produce realistic biological scenarios, that reveal new scientific explanations and knowledge about real life phenomena. A state-of-the-art simulation system termed Reactive Animation (RA) will serve as a study case to examine the contemporary philosophical debate (...)
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  32.  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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  33. The Fragile World Hypothesis: Complexity, Fragility, and Systemic Existential Risk.David Manheim - forthcoming - Futures.
    The possibility of social and technological collapse has been the focus of science fiction tropes for decades, but more recent focus has been on specific sources of existential and global catastrophic risk. Because these scenarios are simple to understand and envision, they receive more attention than risks due to complex interplay of failures, or risks that cannot be clearly specified. In this paper, we discuss the possibility that complexity of a certain type leads to fragility which can function as (...)
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  34. Complex Systems Biology.Roberto Serra - 2012 - In Vincenzo Fano, Enrico Giannetto, Giulia Giannini & Pierluigi Graziani (eds.), Complessità e Riduzionismo. pp. 100-107.
    The term “Complex Systems Biology” was introduced a few years ago [Kaneko, 2006] and, although not yet of widespread use, it seems particularly well suited to indicate an approach to biology which is well rooted in complex systems science. Although broad generalizations are always dangerous, it is safe to state that mainstream biology has been largely dominated by a gene-centric view in the last decades, due to the success of molecular biology. So the one gene - (...)
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  35. Introducing Flexibility to Complex, Resilient Socio-Ecological Systems: A Comparative Analysis of Economics, Flexible Manufacturing Systems, Evolutionary Biology, and Supply Chain Management.Vivek Anand Asokan, Masaru Yarime & Miguel Esteban - 2017 - Sustainability 7 (9):1091.
    In this paper, a framework incorporating flexibility as a characteristic is proposed for designing complex, resilient socio-ecological systems. In an interconnected complex system, flexibility allows prompt deployment of resources where they are needed and is crucial for both innovation and robustness. A comparative analysis of flexible manufacturing systems, economics, evolutionary biology, and supply chain management is conducted to identify the most important characteristics of flexibility. Evolutionary biology emphasises overlapping functions and multi-functionality, which allow a system with (...)
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  36. Being Emergence Vs. Pattern Emergence: Complexity, Control, and Goal-Directedness in Biological Systems.Jason Winning & William Bechtel - 2019 - In Sophie Gibb, Robin Hendry & Tom Lancaster (eds.), The Routledge Handbook of Philosophy of Emergence. London: pp. 134-144.
    Emergence is much discussed by both philosophers and scientists. But, as noted by Mitchell (2012), there is a significant gulf; philosophers and scientists talk past each other. We contend that this is because philosophers and scientists typically mean different things by emergence, leading us to distinguish being emergence and pattern emergence. While related to distinctions offered by others between, for example, strong/weak emergence or epistemic/ontological emergence (Clayton, 2004, pp. 9–11), we argue that the being vs. pattern distinction better captures what (...)
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  37. Stable Regularities Without Governing Laws?Aldo Filomeno - 2019 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 66:186-197.
    Can stable regularities be explained without appealing to governing laws or any other modal notion? In this paper, I consider what I will call a ‘Humean system’—a generic dynamical system without guiding laws—and assess whether it could display stable regularities. First, I present what can be interpreted as an account of the rise of stable regularities, following from Strevens [2003], which has been applied to explain the patterns of complex systems (such as those from meteorology and statistical mechanics). (...)
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  38. Adaptivity: From Metabolism to Behavior.Xabier Barandiaran & Alvaro Moreno - 2008 - Adaptive Behavior 16 (5):325-344.
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  39. Consciousness, Adaptation, and Epiphenomenalism.Owen J. Flanagan & Thomas W. Polger - 1998 - In James H. Fetzer (ed.), Consciousness Evolving. John Benjamins.
    Consciousness and evolution are complex phenomena. It is sometimes thought that if adaptation explanations for some varieties of consciousness, say, conscious visual perception, can be had, then we may be reassured that at least those kinds of consciousness are not epiphenomena. But what if other varieties of consciousness, for example, dreams, are not adaptations? We sort out the connections among evolution, adaptation, and epiphenomenalism in order to show that the consequences for the nature and causal efficacy of consciousness are (...)
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  40. Programming the Emergence in Morphogenetically Architected Complex Systems.Franck Varenne, Pierre Chaigneau, Jean Petitot & René Doursat - 2015 - Acta Biotheoretica 63 (3):295-308.
    Large sets of elements interacting locally and producing specific architectures reliably form a category that transcends the usual dividing line between biological and engineered systems. We propose to call them morphogenetically architected complex systems (MACS). While taking the emergence of properties seriously, the notion of MACS enables at the same time the design (or “meta-design”) of operational means that allow controlling and even, paradoxically, programming this emergence. To demonstrate our claim, we first show that among all the (...)
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  41.  81
    Music and Language in Social Interaction: Synchrony, Antiphony, and Functional Origins.Nathan Oesch - 2019 - Frontiers in Psychology 10.
    Music and language are universal human abilities with many apparent similarities relating to their acoustics, structure, and frequent use in social situations. We might therefore expect them to be understood and processed similarly, and indeed an emerging body of research suggests that this is the case. But the focus has historically been on the individual, looking at the passive listener or the isolated speaker or performer, even though social interaction is the primary site of use for both domains. Nonetheless, an (...)
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  42. Ontological Support for Living Plan Specification, Execution and Evaluation.Erik Thomsen, Fred Read, William Duncan, Tatiana Malyuta & Barry Smith - 2014 - In Semantic Technology in Intelligence, Defense and Security (STIDS), CEUR vol. 1304. pp. 10-17.
    Maintaining systems of military plans is critical for military effectiveness, but is also challenging. Plans will become obsolete as the world diverges from the assumptions on which they rest. If too many ad hoc changes are made to intermeshed plans, the ensemble may no longer lead to well-synchronized and coordinated operations, resulting in the system of plans becoming itself incoherent. We describe in what follows an Adaptive Planning process that we are developing on behalf of the Air Force (...)
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  43. Adaptive Imagination: Toward a Mythopoetic Cognitive Science.Stephen Asma - forthcoming - Evolutionary Studies in Imaginative Culture.
    A mythopoetic paradigm or perspective sees the world primarily as a dramatic story of competing personal intentions, rather than a system of objective impersonal laws. Asma (2017) argued that our contemporary imaginative cognition is evolutionarily conserved—it has structural and functional similarities to premodern Homo sapiens’ cognition. This article will (i) outline the essential features of mythopoetic cognition or adaptive imagination, (ii) delineate the adaptive socio-cultural advantages of mythopoetic cognition, (iii) explain the phylogenetic and ontogenetic mechanisms that give rise (...)
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  44. Remarks on the Geometry of Complex Systems and Self-Organization.Luciano Boi - 2012 - In Vincenzo Fano, Enrico Giannetto, Giulia Giannini & Pierluigi Graziani (eds.), Complessità e Riduzionismo. © ISONOMIA – Epistemologica, University of Urbino. pp. 28-43.
    Let us start by some general definitions of the concept of complexity. We take a complex system to be one composed by a large number of parts, and whose properties are not fully explained by an understanding of its components parts. Studies of complex systems recognized the importance of “wholeness”, defined as problems of organization (and of regulation), phenomena non resolvable into local events, dynamics interactions in the difference of behaviour of parts when isolated or in higher (...)
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  45.  75
    Complexity Reality and Scientific Realism.Avijit Lahiri - manuscript
    We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The (...)
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  46. STABLE ADAPTIVE STRATEGY of HOMO SAPIENS and EVOLUTIONARY RISK of HIGH TECH. Transdisciplinary Essay.Valentin Cheshko, Valery Glazko, Gleb Yu Kosovsky & Anna S. Peredyadenko (eds.) - 2015 - new publ.tech..
    The co-evolutionary concept of Three-modal stable evolutionary strategy of Homo sapiens is developed. The concept based on the principle of evolutionary complementarity of anthropogenesis: value of evolutionary risk and evolutionary path of human evolution are defined by descriptive (evolutionary efficiency) and creative-teleological (evolutionary correctly) parameters simultaneously, that cannot be instrumental reduced to others ones. Resulting volume of both parameters define the trends of biological, social, cultural and techno-rationalistic human evolution by two gear mechanism ˗ gene-cultural co-evolution and techno- humanitarian balance. (...)
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  47. Nonlinear Synthesis and Co‐Evolution of Complex Systems.Helena Knyazeva & Sergei P. Kurdyumov - 2001 - World Futures 57 (3):239-261.
    Today a change is imperative in approaching global problems: what is needed is not arm-twisting and power politics, but searching for ways of co-evolution in the complex social and geopolitical systems of the world. The modern theory of self-organization of complex systems provides us with an understanding of the possible forms of coexistence of heterogeneous social and geopolitical structures at different stages of development regarding the different paths of their sustainable co-evolutionary development. The theory argues that (...)
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  48.  66
    Complexics as a Meta-Transdisciplinary Field.Albert Bastardas-Boada - 2019 - Congrès Mondial Pour la Pensée Complexe. Les Défis D’Un Monde Globalisé. (Paris, 8-9 Décembre. UNESCO).
    ‘Complexics’ denotes the meta-transdisciplinary field specifically concerned with giving us suitable cognitive tools to understand the world’s complexity. Additionally, the use of the adjective ‘complexical’ would avoid the common confusion caused by the adjective ‘complex’, which belongs to everyday usage and already has its own connotations of complication and confusion. Thus, ‘complexical’ thinking and ‘complexical’ perspective would provide clearer terms, be freer of confusion, and refer more precisely to epistemic elements in contrast to the ‘complexity’ typical of many phenomena (...)
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  49.  89
    Education in the Systems Sciences An Annotated Guide to Education and Research Opportunities in the Sciences of Complexity.Blaine Snow - 1990 - Berkeley, CA, USA: Center for Ecoliteracy (Formerly The Elmwood Institute).
    This guide brings together information on the broad spectrum of education and research opportunities currently available in the sciences of complexity. Its purpose is to make these kinds of investigations more accessible by providing information on programs, institutions, organizations, and literature where one can learn about their principles, methods, and applications. The guide is intended to help interested students and educators locate the various academic fields, departments, institutes, and programs that offer education in systems thinking and complex (...) research. The guide may also serve professionals who are already involved in the systems sciences as a directory to general activity in what are otherwise widely separate fields. By browsing the guide one can get a quick sense of where education and research in systems science is going on in both North America and Europe. (shrink)
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  50. Stable adaptive strategy of Homo sapiens. Biopolitical alternatives. God problem. (in Russian).Valentin Cheshko (ed.) - 2012 - publ.house "INGEK".
    Mechanisms to ensure the integrity of the system stable evolutionary strategy Homo sapiens – genetic and cultural coevolution techno-cultural balance – are analyzed. оe main content of the study can be summarized in the following the- ses: stable adaptive strategy of Homo sapiens includes superposition of three basic types (biological, cultural and technological) of adaptations, the integrity of the system provides by two coevolutionary ligament its elements – the genetic-cultural coevolution and techno-cultural balance, the system takes as result of (...)
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