Search results for 'dynamical systems' (try it on Scholar)

1000+ found
Sort by:
  1. Scott Hotton & Jeff Yoshimi (2011). Extending Dynamical Systems Theory to Model Embodied Cognition. Cognitive Science 35 (3):444-479.score: 240.0
    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 (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  2. Tjeerd Van De Laar (2006). Dynamical Systems Theory as an Approach to Mental Causation. Journal for General Philosophy of Science 37 (2):307-332.score: 240.0
    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 (...)
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  3. Harald Atmanspacher (2006). Complementarity in Classical Dynamical Systems. Foundations of Physics 36 (2):291-306.score: 240.0
    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 (...)
    No categories
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  4. Ichiro Tsuda (2001). Toward an Interpretation of Dynamic Neural Activity in Terms of Chaotic Dynamical Systems. Behavioral and Brain Sciences 24 (5):793-810.score: 240.0
    Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in high-dimensional dynamical systems with and without a noise term has motivated a new interpretation of this dynamic neural activity, cast in terms of the high-dimensional transitory dynamics among “exotic” attractors. This interpretation is quite different from the conventional one, cast in terms of simple behavior on low-dimensional attractors. Skarda and (...)
    Direct download (6 more)  
     
    My bibliography  
     
    Export citation  
  5. Anuenue Kukona & Whitney Tabor (2011). Impulse Processing: A Dynamical Systems Model of Incremental Eye Movements in the Visual World Paradigm. Cognitive Science 35 (6):1009-1051.score: 240.0
    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 (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  6. Whitney Tabor, Pyeong W. Cho & Harry Dankowicz (2013). Birth of an Abstraction: A Dynamical Systems Account of the Discovery of an Elsewhere Principle in a Category Learning Task. Cognitive Science 37 (7):1193-1227.score: 240.0
    Human participants and recurrent (“connectionist”) neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular (“strong”) classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the Elsewhere Condition (Kiparsky, 1973). Previous connectionist accounts of related phenomena have often been vague about the nature of the networks’ encoding systems. We analyzed our network using dynamical systems theory, revealing topological and (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  7. Lois A. Gelfand & Sally Engelhart (2012). Dynamical Systems Theory in Psychology: Assistance for the Lay Reader is Required. Frontiers in Psychology 3.score: 240.0
    Dynamical Systems Theory in Psychology: Assistance for the Lay Reader is Required.
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  8. Sally Engelhart Lois A. Gelfand (2012). Dynamical Systems Theory in Psychology: Assistance for the Lay Reader is Required. Frontiers in Psychology 3.score: 240.0
    Dynamical Systems Theory in Psychology: Assistance for the Lay Reader is Required.
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  9. John T. Sanders, Dynamical Systems and Scientific Method.score: 210.0
    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.
    Translate to English
    | Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  10. [deleted]Thomas Buhrmann, Ezequiel Alejandro Di Paolo & Xabier Barandiaran (2013). A Dynamical Systems Account of Sensorimotor Contingencies. Frontiers in Psychology 4.score: 210.0
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  11. Cliff Hooker (2013). On the Import of Constraints in Complex Dynamical Systems. Foundations of Science 18 (4):757-780.score: 210.0
    Complexity arises from interaction dynamics, but its forms are co-determined by the operative constraints within which the dynamics are expressed. The basic interaction dynamics underlying complex systems is mostly well understood. The formation and operation of constraints is often not, and oftener under appreciated. The attempt to reduce constraints to basic interaction fails in key cases. The overall aim of this paper is to highlight the key role played by constraints in shaping the field of complex systems. Following (...)
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  12. Klaus Mainzer (2010). The Emergence of Temporal Structures in Dynamical Systems. Foundations of Physics 40 (9-10):1638-1650.score: 208.0
    Dynamical systems in classical, relativistic and quantum physics are ruled by laws with time reversibility. Complex dynamical systems with time-irreversibility are known from thermodynamics, biological evolution, growth of organisms, brain research, aging of people, and historical processes in social sciences. Complex systems are systems that compromise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous emergence of distinctive temporal, spatial or functional (...)
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  13. Marco Van Leeuwen (2005). Questions for the Dynamicist: The Use of Dynamical Systems Theory in the Philosophy of Cognition. [REVIEW] Minds and Machines 15 (3-4):271-333.score: 204.0
    The concepts and powerful mathematical tools of Dynamical Systems Theory (DST) yield illuminating methods of studying cognitive processes, and are even claimed by some to enable us to bridge the notorious explanatory gap separating mind and matter. This article includes an analysis of some of the conceptual and empirical progress Dynamical Systems Theory is claimed to accomodate. While sympathetic to the dynamicist program in principle, this article will attempt to formulate a series of problems the proponents (...)
    Direct download (9 more)  
     
    My bibliography  
     
    Export citation  
  14. W. Schonbein (2005). Cognition and the Power of Continuous Dynamical Systems. Minds and Machines 15 (1):57-71.score: 196.0
    Traditional approaches to modeling cognitive systems are computational, based on utilizing the standard tools and concepts of the theory of computation. More recently, a number of philosophers have argued that cognition is too subtle or complex for these tools to handle. These philosophers propose an alternative based on dynamical systems theory. Proponents of this view characterize dynamical systems as (i) utilizing continuous rather than discrete mathematics, and, as a result, (ii) being computationally more powerful than (...)
    Direct download (14 more)  
     
    My bibliography  
     
    Export citation  
  15. Eric-Jan Wagenmakers, Han L. J. van der Maas & Simon Farrell (2012). Abstract Concepts Require Concrete Models: Why Cognitive Scientists Have Not Yet Embraced Nonlinearly Coupled, Dynamical, Self-Organized Critical, Synergistic, Scale-Free, Exquisitely Context-Sensitive, Interaction-Dominant, Multifractal, Interdependent Brain-Body-Niche Systems. Topics in Cognitive Science 4 (1):87-93.score: 186.0
    After more than 15 years of study, the 1/f noise or complex-systems approach to cognitive science has delivered promises of progress, colorful verbiage, and statistical analyses of phenomena whose relevance for cognition remains unclear. What the complex-systems approach has arguably failed to deliver are concrete insights about how people perceive, think, decide, and act. Without formal models that implement the proposed abstract concepts, the complex-systems approach to cognitive science runs the danger of becoming a philosophical exercise in (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  16. Richard Johns (2011). Self-Organisation in Dynamical Systems: A Limiting Result. Synthese 181 (2):255 - 275.score: 184.0
    There is presently considerable interest in the phenomenon of "self-organisation" in dynamical systems. The rough idea of self-organisation is that a structure appears "by itself in a dynamical system, with reasonably high probability, in a reasonably short time, with no help from a special initial state, or interaction with an external system. What is often missed, however, is that the standard evolutionary account of the origin of multi-cellular life fits this definition, so that higher living organisms are (...)
    No categories
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  17. Jeff Yoshimi (2012). Supervenience, Dynamical Systems Theory, and Non-Reductive Physicalism. British Journal for the Philosophy of Science 63 (2):373-398.score: 180.0
    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 (...)
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  18. Jeff Yoshimi (2011). Active Internalism and Open Dynamical Systems. Philosophical Psychology 25 (1):1 - 24.score: 180.0
    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 (...)
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  19. Hannes Leitgeb (2005). Interpreted Dynamical Systems and Qualitative Laws: From Neural Networks to Evolutionary Systems. Synthese 146 (1-2):189 - 202.score: 180.0
    . 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 (...)
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  20. Ralph D. Ellis (2005). Generating Predictions From a Dynamical Systems Emotion Theory. Behavioral and Brain Sciences 28 (2):202-203.score: 180.0
    Lewis's dynamical systems emotion theory continues a tradition including Merleau-Ponty, von Bertallanfy, and Aristotle. Understandably for a young theory, Lewis's new predictions do not follow strictly from the theory; thus their failure would not disconfirm the theory, nor their success confirm it – especially given that other self-organizational approaches to emotion (e.g., those of Ellis and of Newton) may not be inconsistent with these same predictions.
    Direct download (7 more)  
     
    My bibliography  
     
    Export citation  
  21. Fred A. Keijzer & Sacha Bem (1996). Behavioral Systems Interpreted as Autonomous Agents and as Coupled Dynamical Systems: A Criticism. Philosophical Psychology 9 (3):323-46.score: 180.0
    Cognitive science's basic premises are under attack. In particular, its focus on internal cognitive processes is a target. Intelligence is increasingly interpreted, not as a matter of reclusive thought, but as successful agent-environment interaction. The critics claim that a major reorientation of the field is necessary. However, this will only occur when there is a distinct alternative conceptual framework to replace the old one. Whether or not a serious alternative is provided is not clear. Among the critics there is some (...)
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  22. Frank van der Velde & Marc de Kamps (1998). Toward a Synthesis of Dynamical Systems and Classical Computation. Behavioral and Brain Sciences 21 (5):652-653.score: 180.0
    Cognitive agents are dynamical systems but not quantitative dynamical systems. Quantitative systems are forms of analogue computation, which is physically too unreliable as a basis for cognition. Instead, cognitive agents are dynamical systems that implement discrete forms of computation. Only such a synthesis of discrete computation and dynamical systems can provide the mathematical basis for modeling cognitive behavior.
    Direct download (6 more)  
     
    My bibliography  
     
    Export citation  
  23. Marco Giunti, Emulation, Reduction, and Emergence in Dynamical Systems.score: 180.0
    The received view about emergence and reduction is that they are incompatible categories. I argue in this paper that, contrary to the received view, emergence and reduction can hold together. To support this thesis, I focus attention on dynamical systems and, on the basis of a general representation theorem, I argue that, as far as these systems are concerned, the emulation relationship is sufficient for reduction (intuitively, a dynamical system DS1 emulates a second dynamical system (...)
    No categories
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  24. Roman Frigg (2004). In What Sense is the Kolmogorov-Sinai Entropy a Measure for Chaotic Behaviour?—Bridging the Gap Between Dynamical Systems Theory and Communication Theory. British Journal for the Philosophy of Science 55 (3):411 - 434.score: 180.0
    On an influential account, chaos is explained in terms of random behaviour; and random behaviour in turn is explained in terms of having positive Kolmogorov-Sinai entropy (KSE). Though intuitively plausible, the association of the KSE with random behaviour needs justification since the definition of the KSE does not make reference to any notion that is connected to randomness. I provide this justification for the case of Hamiltonian systems by proving that the KSE is equivalent to a generalized version of (...)
    Direct download (10 more)  
     
    My bibliography  
     
    Export citation  
  25. Arthur B. Markman (2001). Are Dynamical Systems the Answer? Behavioral and Brain Sciences 24 (1):50-51.score: 180.0
    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.
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  26. Gerard O’Brien (1998). Digital Computers Versus Dynamical Systems: A Conflation of Distinctions. Behavioral and Brain Sciences 21 (5):648-649.score: 180.0
    The distinction at the heart of van Gelder’s target article is one between digital computers and dynamical systems. But this distinction conflates two more fundamental distinctions in cognitive science that should be keep apart. When this conflation is undone, it becomes apparent that the “computational hypothesis” (CH) is not as dominant in contemporary cognitive science as van Gelder contends; nor has the “dynamical hypothesis” (DH) been neglected.
    Direct download (10 more)  
     
    My bibliography  
     
    Export citation  
  27. David Spurrett (2002). Information Processing and Dynamical Systems Approaches Are Complementary. Behavioral and Brain Sciences 25 (5):639-640.score: 180.0
    Shanker & King (S&K) trumpet the adoption of a “new paradigm” in communication studies, exemplified by ape language research. Though cautiously sympathetic, I maintain that their argument relies on a false dichotomy between “information” and “dynamical systems” theory, and that the resulting confusion prevents them from recognizing the main chance their line of thinking suggests.
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  28. Herbert Jaeger (1998). Today's Dynamical Systems Are Too Simple. Behavioral and Brain Sciences 21 (5):643-644.score: 180.0
    Cognitive systems are wilder than today's dynamical systems theory can handle. Cognitive systems might be tamed in principle, but the very notion of a dynamical system will change in the process.
    Direct download (6 more)  
     
    My bibliography  
     
    Export citation  
  29. Clark Glymour, Goethe to Van Gelder: Comments on "Dynamical Systems" Models of Cognition.score: 180.0
    The "dynamical systems" model of cognitive processing is not an alternative computational model. The proposals about "computation" that accompany it are either vacuous or do not distinguish it from a variety of standard computational models. I conclude that the real motivation for van Gelder's version of the account is not technical or computational, but is rather in the spirit of natur-philosophie.
    No categories
     
    My bibliography  
     
    Export citation  
  30. John Collier, Complexly Organised Dynamical Systems.score: 180.0
    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 (...)
    No categories
     
    My bibliography  
     
    Export citation  
  31. Gerard O'Brien (1998). Digital Computers Versus Dynamical Systems: A Conflation of Distinctions. Behavioral and Brain Sciences 21 (5):648-649.score: 180.0
    The distinction at the heart of van Gelder's target article is one between digital computers and dynamical systems, but this distinction conflates two more fundamental distinctions in cognitive science that should be kept apart. When this conflation is undone, it becomes apparent that the computational hypothesis is not as dominant in contemporary cognitive science as van Gelder contends; nor has the dynamical hypothesis been neglected.
    Direct download (9 more)  
     
    My bibliography  
     
    Export citation  
  32. W. -H. Steeb, M. Kloke, B. M. Spieker & A. Kunick (1985). Integrability of Dynamical Systems and the Singular-Point Analysis. Foundations of Physics 15 (6):637-666.score: 180.0
    Various aspects of the integrability of dynamical systems are discussed with the help of the singular point analysis. In particular the connection with the Painlevé property is described. Several examples will serve as illustrations.
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  33. N. Thomasson & L. Pezard (1999). Dynamical Systems and Depression: A Framework for Theoretical Perspectives. Acta Biotheoretica 47 (3-4).score: 180.0
    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 (i.e. bifurcation). On the basis of this experimental study, we discuss the interest of such results concerning (...)
    Direct download  
     
    My bibliography  
     
    Export citation  
  34. John Collier, Functionality and Autonomy in Open Dynamical Systems.score: 180.0
    In Robert West’s talk last week, dynamical systems theory (DST) was applied to a specific problem involving interacting symbolic systems, without much reference to how those systems are embodied or related to other types of systems. Despite this level of abstraction, DST can yield interesting results, though one might be left wondering if it really leads to understanding, or what it all means. In particular, Robert noted problems he has in convincing referees that the sort (...)
    No categories
     
    My bibliography  
     
    Export citation  
  35. D. Lynn Holt & R. Glynn Holt (1993). Regularity in Nonlinear Dynamical Systems. British Journal for the Philosophy of Science 44 (4):711-727.score: 180.0
    Laws of nature have been traditionally thought to express regularities in the systems which they describe, and, via their expression of regularities, to allow us to explain and predict the behavior of these systems. Using the driven simple pendulum as a paradigm, we identify three senses that regularity might have in connection with nonlinear dynamical systems: periodicity, uniqueness, and perturbative stability. Such systems are always regular only in the second of these senses, and that sense (...)
    Direct download (8 more)  
     
    My bibliography  
     
    Export citation  
  36. Marco Giunti (forthcoming). A Representational Approach to Reduction in Dynamical Systems. Erkenntnis:1-26.score: 180.0
    According to the received view, reduction is a deductive relation between two formal theories. In this paper, I develop an alternative approach, according to which reduction is a representational relation between models, rather than a deductive relation between theories; more specifically, I maintain that this representational relation is the one of emulation. To support this thesis, I focus attention on mathematical dynamical systems and I argue that, as far as these systems are concerned, the emulation relation is (...)
    No categories
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  37. Douglas T. Kenrick, Norman Li & Jonathan E. Butner (2000). Dynamical Systems and Mating Decision Rules. Behavioral and Brain Sciences 23 (4):607-608.score: 180.0
    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.
    Direct download (5 more)  
     
    My bibliography  
     
    Export citation  
  38. Gyorgy Kampis (1991). Different Forms of Causation in Dynamical Systems: Determinism, Pattern Generation, and Information. World Futures 30 (4):221-237.score: 180.0
    (1991). Different forms of causation in dynamical systems: Determinism, pattern generation, and information. World Futures: Vol. 30, No. 4, pp. 221-237.
    No categories
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  39. Wassim M. Haddad, VijaySekhar Chellaboina & Sergey G. Nersesov (2006). Impulsive and Hybrid Dynamical Systems: Stability, Dissipativity, and Control. Princeton University Press.score: 180.0
    This book develops a general analysis and synthesis framework for impulsive and hybrid dynamical systems.
    No categories
    Direct download  
     
    My bibliography  
     
    Export citation  
  40. P. Van Geert (2009). Nonlinear Complex Dynamical Systems in Developmental Psychology. In Stephen J. Guastello, Matthijs Koopmans & David Pincus (eds.), Chaos and Complexity in Psychology: The Theory of Nonlinear Dynamical Systems. Cambridge University Press.score: 180.0
    No categories
     
    My bibliography  
     
    Export citation  
  41. Thomas Brihaye (2006). A Note on the Undecidability of the Reachability Problem for o‐Minimal Dynamical Systems. Mathematical Logic Quarterly 52 (2):165-170.score: 178.0
    No categories
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  42. M. Hrušák, M. Sanchis & Á Tamariz-Mascarúa (2008). Ultrafilters and Non-Cantor Minimal Sets in Linearly Ordered Dynamical Systems. Archive for Mathematical Logic 47 (3):193-203.score: 178.0
    It is well known that infinite minimal sets for continuous functions on the interval are Cantor sets; that is, compact zero dimensional metrizable sets without isolated points. On the other hand, it was proved in Alcaraz and Sanchis (Bifurcat Chaos 13:1665–1671, 2003) that infinite minimal sets for continuous functions on connected linearly ordered spaces enjoy the same properties as Cantor sets except that they can fail to be metrizable. However, no examples of such subsets have been known. In this note (...)
    No categories
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  43. Cliff A. Hooker (1997). Dynamical Systems in Development: Review Essay of Linda V. Smith & Esther Thelen (Eds) a Dynamics Systems Approach to Development: Applications. Philosophical Psychology 10 (1):103 – 112.score: 176.0
    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 (...)
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  44. Cliff Hooker, Conceptualising Reduction, Emergence and Self-Organisation in Complex Dynamical Systems.score: 176.0
    This chapter describes the application of reduction concepts in emergence and self organization of complex dynamical system. Condition-dependent laws compress and dynamical equation sets provide implicit compressed representations even when most of that information is not explicitly available without decompression. And, paradoxically, there is still the determined march of fundamental analytical dynamics expanding its compression reach toward a Theory of Everything—even while the more rapidly expanding domain of complex systems dynamics confronts its assumptions and its monolithicity. Nor (...)
    No categories
    Direct download  
     
    My bibliography  
     
    Export citation  
  45. Noboru Watanabe (2011). Note on Entropies of Quantum Dynamical Systems. Foundations of Physics 41 (3):549-563.score: 168.0
    We review some techniques and notions for quantum information theory. It is shown that the dynamical entropies is discussed and some numerical computations of these entropies are carried for several states.
    Direct download (3 more)  
     
    My bibliography  
     
    Export citation  
  46. Roman Frigg, Chaos and Randomness: An Equivalence Proof of a Generalized Version of the Shannon Entropy and the Kolmogorov–Sinai Entropy for Hamiltonian Dynamical Systems.score: 164.0
    Chaos is often explained in terms of random behaviour; and having positive Kolmogorov–Sinai entropy (KSE) is taken to be indicative of randomness. Although seemly plausible, the association of positive KSE with random behaviour needs justification since the definition of the KSE does not make reference to any notion that is connected to randomness. A common way of justifying this use of the KSE is to draw parallels between the KSE and ShannonÕs information theoretic entropy. However, as it stands this no (...)
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  47. Erik Myin & Sonja Smets (2002). Could Dancing Be Coupled Oscillation? – The Interactive Approach to Linguistic Communication and Dynamical Systems Theory. Behavioral and Brain Sciences 25 (5):634-635.score: 164.0
    Although we applaud the interactivist approach to language and communication taken in the target article, we notice that Shanker & King (S&K) give little attention to the theoretical frameworks developed by dynamical system theorists. We point out how the dynamical idea of causality, viewed as multidirectional across multiple scales of organization, could further strengthen the position taken in the target article.
    Direct download (4 more)  
     
    My bibliography  
     
    Export citation  
  48. Alvaro Moreno, On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program.score: 162.0
    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 is (...)
    Translate to English
    | Direct download  
     
    My bibliography  
     
    Export citation  
  49. Xabier Barandiaran & Alvaro Moreno (2006). On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program. Adaptive Behavior 14:171-185..score: 162.0
    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 is (...)
    Direct download (2 more)  
     
    My bibliography  
     
    Export citation  
  50. Sylvain Thibault, Laurent Heyer, Gila Benchetrit & Pierre Baconnier (2002). Ventilatory Support: A Dynamical Systems Approach. Acta Biotheoretica 50 (4).score: 162.0
    Misunderstanding of the dynamical behavior of the ventilatory system, especially under assisted ventilation, may explain the problems encountered in ventilatory support monitoring. Proportional assist ventilation (PAV) that theoretically gives a breath by breath assistance presents instability with high levels of assistance. We have constructed a mathematical model of interactions between three objects: the central respiratory pattern generator modelled by a modified Van der Pol oscillator, the mechanical respiratory system which is the passive part of the system and a controlled (...)
    Direct download  
     
    My bibliography  
     
    Export citation  
1 — 50 / 1000