Results for 'Dynamic systems'

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  1. A Dynamic Systems Approach to the Development of Cognition and Action.David Morris, E. Thelen & L. B. Smith - 1997 - International Studies in the Philosophy of Science 11 (2).
  2. Dynamic Systems as Tools for Analysing Human Judgement.Joachim Funke - 2001 - Thinking and Reasoning 7 (1):69 – 89.
    With the advent of computers in the experimental labs, dynamic systems have become a new tool for research on problem solving and decision making. A short review of this research is given and the main features of these systems (connectivity and dynamics) are illustrated. To allow systematic approaches to the influential variables in this area, two formal frameworks (linear structural equations and finite state automata) are presented. Besides the formal background, the article sets out how the task (...)
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    A Dynamical Systems Perspective on Agent-Environment Interaction.Randall D. Beer - 1995 - Artificial Intelligence 72 (1-2):173-215.
  4. Dynamical Systems Theory and Explanatory Indispensability.Juha Saatsi - 2017 - Philosophy of Science 84 (5):892-904.
    I examine explanations’ realist commitments in relation to dynamical systems theory. First I rebut an ‘explanatory indispensability argument’ for mathematical realism from the explanatory power of phase spaces (Lyon and Colyvan 2007). Then I critically consider a possible way of strengthening the indispensability argument by reference to attractors in dynamical systems theory. The take-home message is that understanding of the modal character of explanations (in dynamical systems theory) can undermine platonist arguments from explanatory indispensability.
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  5. Extending Dynamical Systems Theory to Model Embodied Cognition.Scott Hotton & Jeff Yoshimi - 2011 - Cognitive Science 35 (3):444-479.
    We define a mathematical formalism based on the concept of an ‘‘open dynamical system” and show how it can be used to model embodied cognition. This formalism extends classical dynamical systems theory by distinguishing a ‘‘total system’’ (which models an agent in an environment) and an ‘‘agent system’’ (which models an agent by itself), and it includes tools for analyzing the collections of overlapping paths that occur in an embedded agent's state space. To illustrate the way this formalism can (...)
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  6. Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data.Stephen J. Guastello & Robert A. M. Gregson (eds.) - 2010 - Crc Press.
    Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical systems has taken off in the last 30 years. While pertinent source material exists, it is strewn about the literature in mathematics, physics, biology, economics, and psychology at varying levels of accessibility. A compendium research methods reflecting the expertise of major contributors to NDS psychology, Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data examines the techniques proven to be (...)
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  7. Supervenience, Dynamical Systems Theory, and Non-Reductive Physicalism.Jeffrey Yoshimi - 2012 - British Journal for the Philosophy of Science 63 (2):373-398.
    It is often claimed (1) that levels of nature are related by supervenience, and (2) that processes occurring at particular levels of nature should be studied using dynamical systems theory. However, there has been little consideration of how these claims are related. To address the issue, I show how supervenience relations give rise to ‘supervenience functions’, and use these functions to show how dynamical systems at different levels are related to one another. I then use this analysis to (...)
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  8.  23
    Dynamical Systems Theory in Cognitive Science and Neuroscience.Luis H. Favela - 2020 - Philosophy Compass 15 (8).
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  9.  11
    Dynamical Systems on Monoids. Toward a General Theory of Deterministic Systems and Motion.Marco Giunti & Claudio Mazzola - 2012 - In Gianfranco Minati, Mario Abram & Eliano Pessa (eds.), Methods, Models, Simulations and Approaches towards a General Theory of Change. Singapore: World Scientific. pp. 173-186.
    Dynamical systems are mathematical structures whose aim is to describe the evolution of an arbitrary deterministic system through time, which is typically modeled as (a subset of) the integers or the real numbers. We show that it is possible to generalize the standard notion of a dynamical system, so that its time dimension is only required to possess the algebraic structure of a monoid: first, we endow any dynamical system with an associated graph and, second, we prove that such (...)
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  10. Computers, Dynamical Systems, Phenomena, and the Mind.Marco Giunti - 1992 - Dissertation, Indiana University
    This work addresses a broad range of questions which belong to four fields: computation theory, general philosophy of science, philosophy of cognitive science, and philosophy of mind. Dynamical system theory provides the framework for a unified treatment of these questions. ;The main goal of this dissertation is to propose a new view of the aims and methods of cognitive science--the dynamical approach . According to this view, the object of cognitive science is a particular set of dynamical systems, which (...)
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  11.  67
    Interpreted Dynamical Systems and Qualitative Laws: From Neural Networks to Evolutionary Systems.Hannes Leitgeb - 2005 - Synthese 146 (1-2):189-202.
    . Interpreted dynamical systems are dynamical systems with an additional interpretation mapping by which propositional formulas are assigned to system states. The dynamics of such systems may be described in terms of qualitative laws for which a satisfaction clause is defined. We show that the systems Cand CL of nonmonotonic logic are adequate with respect to the corresponding description of the classes of interpreted ordered and interpreted hierarchical systems, respectively. Inhibition networks, artificial neural networks, logic (...)
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  12.  11
    A Dynamic Systems Model of Cognitive and Language Growth.Paul Van Geert - 1991 - Psychological Review 98 (1):3-53.
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  13.  98
    Dynamical Systems Theory as an Approach to Mental Causation.Tjeerd Van De Laar - 2006 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 37 (2):307-332.
    Dynamical systems theory (DST) is gaining popularity in cognitive science and philosophy of mind. Recently several authors (e.g. J.A.S. Kelso, 1995; A. Juarrero, 1999; F. Varela and E. Thompson, 2001) offered a DST approach to mental causation as an alternative for models of mental causation in the line of Jaegwon Kim (e.g. 1998). They claim that some dynamical systems exhibit a form of global to local determination or downward causation in that the large-scale, global activity of the system (...)
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  14. Situated Cognition, Dynamic Systems, and Art: On Artistic Creativity and Aesthetic Experience.Ingar Brinck - 2007 - Janus Head 9 (2):407-431.
    It is argued that the theory of situated cognition together with dynamic systems theory can explain the core of artistic practice and aesthetic experience, and furthermore paves the way for an account of how artist and audience can meet via the artist’s work. The production and consumption of art is an embodied practice, firmly based in perception and action, and supported by features of the local, agent-centered and global, socio-cultural contexts. Artistic creativity and aesthetic experience equally result from (...)
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  15. Development as a Dynamic System.Linda B. Smith & Esther Thelen - 2003 - Trends in Cognitive Sciences 7 (8):343-348.
  16.  28
    Editorial: Dynamic Systems Theory and Embodiment in Psychotherapy Research. A New Look at Process and Outcome.Sergio Salvatore, Wolfgang Tschacher, Omar C. G. Gelo & Sabine C. Koch - 2015 - Frontiers in Psychology 6.
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    A Dynamical Systems Perspective on Flexible Motor Timing.Evan D. Remington, Seth W. Egger, Devika Narain, Jing Wang & Mehrdad Jazayeri - 2018 - Trends in Cognitive Sciences 22 (10):938-952.
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    Complex Dynamical Systems and the Problems of Identity.Alicia Juarrero - 2002 - Emergence: Complexity and Organization 4 (1):94-104.
  19.  52
    Complementarity in Classical Dynamical Systems.Harald Atmanspacher - 2006 - Foundations of Physics 36 (2):291-306.
    The concept of complementarity, originally defined for non-commuting observables of quantum systems with states of non-vanishing dispersion, is extended to classical dynamical systems with a partitioned phase space. Interpreting partitions in terms of ensembles of epistemic states (symbols) with corresponding classical observables, it is shown that such observables are complementary to each other with respect to particular partitions unless those partitions are generating. This explains why symbolic descriptions based on an ad hoc partition of an underlying phase space (...)
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  20. On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program.Xabier Barandiaran & Alvaro Moreno - 2006 - Adaptive Behavior 14:171-185..
    Dynamicism has provided cognitive science with important tools to understand some aspects of “how cognitive agents work” but the issue of “what makes something cognitive” has not been sufficiently addressed yet, and, we argue, the former will never be complete without the later. Behavioristic characterizations of cognitive properties are criticized in favor of an organizational approach focused on the internal dynamic relationships that constitute cognitive systems. A definition of cognition as adaptive-autonomy in the embodied and situated neurodynamic domain (...)
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  21.  13
    Dynamical Systems and the Direction of Time.Claudio Mazzola - 2013 - In Pierluigi Graziani, Luca Guzzardi & Massimo Sangoi (eds.), Open Problems in Philosophy of Sciences. London: College Publications. pp. 217-232.
    The problem of the direction of time is reconsidered in the light of a generalized version of the theory of abstract deterministic dynamical systems, thanks to which the mathematical model of time can be provided with an internal dynamics, solely depending on its algebraic structure. This result calls for a reinterpretation of the directional properties of physical time, which have been typically understood in a strictly topological sense, as well as for a reexamination of the theoretical meaning of the (...)
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  22. Dynamic Systems and Paradise Regained, or How to Avoid Being a Calculator. [REVIEW]Eric Dietrich - 1999 - J. Of Experimental and Theoretical AI 11 (4):473-478.
    The new kid on the block in cognitive science these days is dynamic systems. This way of thinking about the mind is, as usual, radically opposed to computationalism - - the hypothesis that thinking is computing. The use of dynamic systems is just the latest in a series of attempts, from Searle's Chinese Room Argument, through the weirdnesses of postmodernism, to overthrown computationalism, which as we all know is a perfectly nice hypothesis about the mind that (...)
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  23. A dynamical systems approach to causation.Peter Fazekas, Balazs Gyenis, Gábor Hofer-Szabó & Gergely Kertesz - 2019 - Synthese 198 (7):6065-6087.
    Our approach aims at accounting for causal claims in terms of how the physical states of the underlying dynamical system evolve with time. Causal claims assert connections between two sets of physicals states—their truth depends on whether the two sets in question are genuinely connected by time evolution such that physical states from one set evolve with time into the states of the other set. We demonstrate the virtues of our approach by showing how it is able to account for (...)
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  24.  20
    Making Sense of Dynamic Systems: How Our Understanding of Stocks and Flows Depends on a Global Perspective.Helen Fischer & Cleotilde Gonzalez - 2016 - Cognitive Science 40 (2):496-512.
    Stocks and flows are building blocks of dynamic systems: Stocks change through inflows and outflows, such as our bank balance changing with withdrawals and deposits, or atmospheric CO2 with absorptions and emissions. However, people make systematic errors when trying to infer the behavior of dynamic systems, termed SF failure, whose cognitive explanations are yet unknown. We argue that SF failure appears when people focus on specific system elements, rather than on the system structure and gestalt. Using (...)
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  25.  20
    A Dynamic Systems Model of Basic Developmental Mechanisms: Piaget, Vygotsky, and Beyond.Paul van Geert - 1998 - Psychological Review 105 (4):634-677.
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  26. Bridging Emotion Theory and Neurobiology Through Dynamic Systems Modeling.Marc D. Lewis - 2005 - Behavioral and Brain Sciences 28 (2):169-194.
    Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. (...)
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  27.  13
    Complexly Organised Dynamical Systems.John D. Collier & Clifford A. Hooker - 1999 - Open Systems and Information Dynamics 6 (3):241–302.
    Both natural and engineered systems are fundamentally dynamical in nature: their defining properties are causal, and their functional capacities are causally grounded. Among dynamical systems, an interesting and important sub-class are those that are autonomous, anticipative and adaptive (AAA). Living systems, intelligent systems, sophisticated robots and social systems belong to this class, and the use of these terms has recently spread rapidly through the scientific literature. Central to understanding these dynamical systems is their complicated (...)
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  28. Dynamical Systems and Scientific Method.John T. Sanders - manuscript
    Progress in the last few decades in what is widely known as “Chaos Theory” has plainly advanced understanding in the several sciences it has been applied to. But the manner in which such progress has been achieved raises important questions about scientific method and, indeed, about the very objectives and character of science. In this presentation, I hope to engage my audience in a discussion of several of these important new topics.
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    Are Dynamical Systems the Answer?Arthur B. Markman - 2001 - Behavioral and Brain Sciences 24 (1):50-51.
    The proposed model is put forward as a template for the dynamical systems approach to embodied cognition. In order to extend this view to cognitive processing in general, however, two limitations must be overcome. First, it must be demonstrated that sensorimotor coordination of the type evident in the A-not-B error is typical of other aspects of cognition. Second, the explanatory utility of dynamical systems models must be clarified.
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  30.  23
    Dynamical Systems and Depression: A Framework for Theoretical Perspectives.N. Thomasson & L. Pezard - 1999 - Acta Biotheoretica 47 (3-4):209-218.
    The theory of dynamical systems allows one to describe the change in a system' 's macroscopic behavior as a bifurcation in the underlying dynamics. We show here, from the example of depressive syndrome, the existence of a correspondence between clinical and electro-physiological dimensions and the association between clinical remission and brain dynamics reorganization. On the basis of this experimental study, we discuss the interest of such results concerning the question of normality versus pathology in psychiatry and the relationship between (...)
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  31.  31
    A Dynamic Systems View of Habits.Nathaniel F. Barrett - 2014 - Frontiers in Human Neuroscience 8.
  32.  54
    The Dynamical Systems Accounts for Phenomenology of Immanent Time: An Interpretation by Revisiting a Robotics Synthetic Study.Jun Tani - 2004 - Journal of Consciousness Studies 11 (9):5-24.
    This paper discusses possible correspondences between the dynamical systems characteristics observed in our previously proposed cognitive model and phenomenological accounts of immanent time considered by Edmund Husserl. Our simulation experiments in the anticiparatory learning of a robot showed that encountering sensory-motor flow can be learned as segmented into chunks of reusable primitives with accompanying dynamic shifting between coherences and incoherences in local modules. It is considered that the sense of objective time might appear when the continuous sensory-motor flow (...)
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  33.  58
    Informational Dynamic Systems: Autonomy, Information, Function.Walter Riofrio - 2007 - In Carlos Gershenson, Diederik Aerts & Bruce Edmonds (eds.), Worldviews, Science, and Us: Philosophy and Complexity. World Scientific.
  34.  27
    Dynamic Systems Theory Places the Scientist in the System.Alan Fogel, Ilse de Koeyer, Cory Secrist & Ryan Nagy - 2002 - Behavioral and Brain Sciences 25 (5):623-624.
    Dynamic systems theory is a way of describing the patterns that emerge from relationships in the universe. In the study of interpersonal relationships, within and between species, the scientist is an active and engaged participant in those relationships. Separation between self and other, scientist and subject, runs counter to systems thinking and creates an unnecessary divide between humans and animals.
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    Dynamical Systems Implementation of Intrinsic Sentence Meaning.Hermann Moisl - forthcoming - Minds and Machines:1-27.
    This paper proposes a model for implementation of intrinsic natural language sentence meaning in a physical language understanding system, where 'intrinsic' is understood as 'independent of meaning ascription by system-external observers'. The proposal is that intrinsic meaning can be implemented as a point attractor in the state space of a nonlinear dynamical system with feedback which is generated by temporally sequenced inputs. It is motivated by John Searle's well known critique of the then-standard and currently still influential computational theory of (...)
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  36.  87
    “Homeopathic” Dynamical Systems.Alfred W. Hübler - 2008 - Complexity 13 (3):8-11.
  37. On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program.Alvaro Moreno - unknown
    Dynamicism has provided cognitive science with important tools to understand some aspects of “how cognitive agents work” but the issue of “what makes something cognitive” has not been sufficiently addressed yet and, we argue, the former will never be complete without the latter. Behavioristic characterizations of cognitive properties are criticized in favor of an organizational approach focused on the internal dynamic relationships that constitute cognitive systems. A definition of cognition as adaptive-autonomy in the embodied and situated neurodynamic domain (...)
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  38.  56
    Active Internalism and Open Dynamical Systems.Jeff Yoshimi - 2012 - Philosophical Psychology 25 (1):1 - 24.
    The question whether cognition is subserved by internal processes in the brain (internalism) or extends in to the world (active externalism) has been vigorously debated in recent years. I show how internalist and externalist ideas can be pursued in a common framework, using (1) open dynamical systems, which allow for separate analysis of an agent's intrinsic and embodied dynamics, and (2) supervenience functions, which can be used to study how low-level dynamical systems give rise to higher-level dynamical structures.
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  39.  19
    Dynamic Systems and the “Subsymbolic Level”.Walter J. Freeman - 1988 - Behavioral and Brain Sciences 11 (1):33-34.
  40.  50
    Impulse Processing: A Dynamical Systems Model of Incremental Eye Movements in the Visual World Paradigm.Anuenue Kukona & Whitney Tabor - 2011 - Cognitive Science 35 (6):1009-1051.
    The Visual World Paradigm (VWP) presents listeners with a challenging problem: They must integrate two disparate signals, the spoken language and the visual context, in support of action (e.g., complex movements of the eyes across a scene). We present Impulse Processing, a dynamical systems approach to incremental eye movements in the visual world that suggests a framework for integrating language, vision, and action generally. Our approach assumes that impulses driven by the language and the visual context impinge minutely on (...)
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  41.  44
    A Dynamical System for Biological Development: The Case of Caenorhabditis Elegans.F. Bailly, F. Gaill & R. Mosseri - 1991 - Acta Biotheoretica 39 (3-4):167-184.
    We show how a simple nonlinear dynamical system (the discrete quadratic iteration on the unit segment) can be the basis for modelling the embryogenesis process. Such an approach, even though being crude, can nevertheless prove to be useful when looking with the two main involved processes:i) on one hand the cell proliferation under successive divisions ii) on the other hand, the differentiation between cell lineages. We illustrate this new approach in the case of Caenorhabditis elegans by looking at the early (...)
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  42.  34
    Dynamical System and Huygens' Principle.Ubiratan D'ambrosio - 1972 - Philosophia Mathematica (1):27-39.
    In this paper we will discuss some basic aspects of the global theory of dynamical systems. Rather than entering in technical derivations, we will try to emphasize the main points of the concept of dynamical systems which lead us to the generalization presented here, as well as some results that are easily generalized. Besides, some considerations of philosophical nature will be made.
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  43.  38
    Dynamic Systems and the Evolution of Language.J. Gogate Lakshmi - 2006 - Behavioral and Brain Sciences 29 (3):287.
    Locke & Bogin (L&B) suggest that theoretical principles of ontogenetic development apply to language evolution. If this is the case, then evolutionary theory should utilize epigenetic theories of development to theorize, model, and elucidate the evolution of language wherever possible. In this commentary, I evoke principles of dynamic systems theory to evaluate the evolutionary phenomena presented in the target article.
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  44.  3
    Can Dynamical Systems Explain Mental Causation?Ralph D. Ellis - 2001 - Journal of Mind and Behavior 22 (3):311-334.
    Dynamical systems promise to elucidate a notion of top–down causation without violating the causal closure of physical events. This approach is particularly useful for the problem of mental causation. Since dynamical systems seek out, appropriate, and replace physical substrata needed to continue their structural pattern, the system is autonomous with respect to its components, yet the components constitute closed causal chains. But how can systems have causal power over their substrates, if each component is sufficiently caused by (...)
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  45.  29
    Dynamical Systems in Development: Review Essay of Linda V. Smith & Esther Thelen (Eds) a Dynamics Systems Approach to Development: Applications.Cliff A. Hooker - 1997 - Philosophical Psychology 10 (1):103 – 112.
    This book focuses on showing how the ideas central to the new wave oj dynamic systems studies may also form the basis for a new and distinctive theory of human development where both global order and local variability in behaviour emerge together from the same organising dynamical interactions. This also sharpens our understanding of the weaknesses of the traditional formal, structuralist theories. Conversely, dynamical models have their own matching set of problems, many of which are consiously explored here. (...)
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  46.  3
    A Dynamic Systems Framework for Gender/Sex Development: From Sensory Input in Infancy to Subjective Certainty in Toddlerhood.Anne Fausto-Sterling - 2021 - Frontiers in Human Neuroscience 15.
    From birth to 15 months infants and caregivers form a fundamentally intersubjective, dyadic unit within which the infant’s ability to recognize gender/sex in the world develops. Between about 18 and 36 months the infant accumulates an increasingly clear and subjective sense of self as female or male. We know little about how the precursors to gender/sex identity form during the intersubjective period, nor how they transform into an independent sense of self by 3 years of age. In this Theory and (...)
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  47. A Dynamic Systems View of Economic and Political Theory.Christian Fuchs & John Collier - 2007 - Theoria 54 (113):23-52.
    Economic logic impinges on contemporary political theory through both economic reductionism and economic methodology applied to political decision-making (through game theory). The authors argue that the sort of models used are based on mechanistic and linear methodologies that have now been found wanting in physics. They further argue that complexity based self-organization methods are better suited to model the complexities of economy and polity and their interactions with the overall social system.
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  48.  14
    Dynamical Systems Hypothesis in Cognitive Science.Robert F. Port - 2002 - In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan.
  49.  12
    Dynamical Systems and Mating Decision Rules.Douglas T. Kenrick, Norman Li & Jonathan E. Butner - 2000 - Behavioral and Brain Sciences 23 (4):607-608.
    Dynamical simulations of male and female mating strategies illustrate how traits such as restrictedness constrain, and are constrained by, local ecology. Such traits cannot be defined solely by genotype or by phenotype, but are better considered as decision rules gauged to ecological inputs. Gangestad & Simpson's work draws attention to the need for additional bridges between evolutionary psychology and dynamical systems theory.
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  50.  14
    For a Topology of Dynamical Systems.Claudio Mazzola & Marco Giunti - 2016 - In Gianfranco Minati, Mario Abram & Eliano Pessa (eds.), Towards a Post-Bertalanffy Systemics. Springer. pp. 81-87.
    Dynamical systems are mathematical objects meant to formally capture the evolution of deterministic systems. Although no topological constraint is usually imposed on their state spaces, there is prima facie evidence that the topological properties of dynamical systems might naturally depend on their dynamical features. This paper aims to prepare the grounds for a systematic investigation of such dependence, by exploring how the underlying dynamics might naturally induce a corresponding topology.
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