Search results for 'coordinative dynamics' (try it on Scholar)

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  1.  1
    Ulrich Mayr, Reinhold Kliegl & Ralf T. Krampe (1996). Sequential and Coordinative Processing Dynamics in Figural Transformations Across the Life Span. Cognition 59 (1):61-90.
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  2.  77
    Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves (2010). Natural World Physical, Brain Operational, and Mind Phenomenal Space-Time. Physics of Life Reviews 7 (2):195-249.
    Concepts of space and time are widely developed in physics. However, there is a considerable lack of biologically plausible theoretical frameworks that can demonstrate how space and time dimensions are implemented in the activity of the most complex life-system – the brain with a mind. Brain activity is organized both temporally and spatially, thus representing space-time in the brain. Critical analysis of recent research on the space-time organization of the brain’s activity pointed to the existence of so-called operational space-time in (...)
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  3.  36
    Leonardo Becchetti & Benjamin Huybrechts (2008). The Dynamics of Fair Trade as a Mixed-Form Market. Journal of Business Ethics 81 (4):733 - 750.
    This article analyses the Fair Trade sector as a “mixed-form market,” i.e., a market in which different types of players (in this case, nonprofit, co-operative and for-profit organizations) coexist and compete. The purposes of this article are (1) to understand the factors that have led Fair Trade to become a mixed-form market and (2) to propose some trails to understand the market dynamics that result from the interactions between the different types of players. We start by defining briefly Fair (...)
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  4.  14
    Haley A. Vlach & Catherine M. Sandhofer (2014). Retrieval Dynamics and Retention in Cross‐Situational Statistical Word Learning. Cognitive Science 38 (4):757-774.
    Previous research on cross-situational word learning has demonstrated that learners are able to reduce ambiguity in mapping words to referents by tracking co-occurrence probabilities across learning events. In the current experiments, we examined whether learners are able to retain mappings over time. The results revealed that learners are able to retain mappings for up to 1 week later. However, there were interactions between the amount of retention and the different learning conditions. Interestingly, the strongest retention was associated (...)
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  5.  24
    Riccardo Fusaroli, Joanna Raczaszek-Leonardi & Kristian Tylén (2013). Dialog as Interpersonal Synergy. New Ideas in Psychology.
    What is the proper unit of analysis in the psycholinguistics of dialog? While classical approaches are largely based on models of individual linguistic processing, recent advances stress the social coordinative nature of dialog. In the influential interactive alignment model, dialogue is thus approached as the progressive entrainment of interlocutors' linguistic behaviors toward the alignment of situation models. Still, the driving mechanisms are attributed to individual cognition in the form of automatic structural priming. Challenging these ideas, we outline a dynamical (...)
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  6. Yi Zhang & Zigang Zhang (2006). Guanxi and Organizational Dynamics in China: A Link Between Individual and Organizational Levels. [REVIEW] Journal of Business Ethics 67 (4):375 - 392.
    Guanxi in China is a very ancient concept embedded in the Confucian concept of life and one that is a ‚hot' topic in that it is currently attracting increasing attention from both Western and Chinese scholars. One aspect of Guanxi which has been the subject of most of the research of late is the influence of Guanxi on firm performance. However, relatively few studies have examined how Guanxi at the individual level is transferred into a firm to influence its financial (...)
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  7.  47
    Simon M. Huttegger, Brian Skyrms, Rory Smead & Kevin J. S. Zollman (2010). Evolutionary Dynamics of Lewis Signaling Games: Signaling Systems Vs. Partial Pooling. [REVIEW] Synthese 172 (1):177 - 191.
    Transfer of information between senders and receivers, of one kind or another, is essential to all life. David Lewis introduced a game theoretic model of the simplest case, where one sender and one receiver have pure common interest. How hard or easy is it for evolution to achieve information transfer in Lewis signaling?. The answers involve surprising subtleties. We discuss some if these in terms of evolutionary dynamics in both finite and infinite populations, with and without mutation.
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  8.  12
    Wolfgang Yourgrau (1968). Variational Principles in Dynamics and Quantum Theory. Philadelphia, Saunders.
    Concentrating upon applications that are most relevant to modern physics, this valuable book surveys variational principles and examines their relationship to dynamics and quantum theory. Stressing the history and theory of these mathematical concepts rather than the mechanics, the authors provide many insights into the development of quantum mechanics and present much hard-to-find material in a remarkably lucid, compact form. After summarizing the historical background from Pythagoras to Francis Bacon, Professors Yourgrau and Mandelstram cover Fermat's principle of least time, (...)
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  9.  11
    Andrea Bonaccorsi (2008). Search Regimes and the Industrial Dynamics of Science. Minerva 46 (3):285-315.
    The article addresses the issue of dynamics of science, in particular of new sciences born in twentieth century and developed after the Second World War (information science, materials science, life science). The article develops the notion of search regime as an abstract characterization of dynamic patterns, based on three dimensions: the rate of growth, the degree of internal diversity of science and the associated dynamics (convergent vs. proliferating), and the nature of complementarity. The article offers a conceptual (...)
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  10.  17
    Duane Windsor (2010). The Role of Dynamics in Stakeholder Thinking. Journal of Business Ethics 96 (S1):79-87.
    Dynamics concerns the process of change in variable conditions through time at any level of analysis. Various important issues or topics in stakeholder theory and practice involve consideration of change over time and thus unavoidably involve dynamics. While dynamics has received explicit recognition in stakeholder literature, dynamic analysis remains partly tacit and suffused through the literature. One reason is that dynamics remains difficult to model even in economics. This article provides a basic orientation to stakeholder (...) as a key conceptual and methodological issue for stakeholder thinking. This article identifies current literature concerning stakeholder dynamics and evaluates future directions in dynamic reasoning that would help build stakeholder theory and improve practice of stakeholder management. Notions of competition, influence strategies, change in stakeholder networks, mindsets, salience or values, learning, creative destruction, long-term sustainability, stakeholder reciprocity, sustainable development, and value creation all embed change and thus time dynamics. Static complexity and heterogeneity across units-of-analysis are not the same as dynamics but do also change over time. Dynamics concerns how change process influences consequences (later in time) in relationship to antecedents (earlier in time). Management copes with change process, as much as with complexity and variation in antecedents and consequences. (shrink)
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  11.  4
    Itamar Lerner, Shlomo Bentin & Oren Shriki (2014). Integrating the Automatic and the Controlled: Strategies in Semantic Priming in an Attractor Network With Latching Dynamics. Cognitive Science 38 (8):1562-1603.
    Semantic priming has long been recognized to reflect, along with automatic semantic mechanisms, the contribution of controlled strategies. However, previous theories of controlled priming were mostly qualitative, lacking common grounds with modern mathematical models of automatic priming based on neural networks. Recently, we introduced a novel attractor network model of automatic semantic priming with latching dynamics. Here, we extend this work to show how the same model can also account for important findings regarding controlled processes. Assuming the rate of (...)
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  12.  86
    Kinjalk Lochan, Seema Satin & Tejinder P. Singh (2012). Statistical Thermodynamics for a Non-Commutative Special Relativity: Emergence of a Generalized Quantum Dynamics. [REVIEW] Foundations of Physics 42 (12):1556-1572.
    There ought to exist a description of quantum field theory which does not depend on an external classical time. To achieve this goal, in a recent paper we have proposed a non-commutative special relativity in which space-time and matter degrees of freedom are treated as classical matrices with arbitrary commutation relations, and a space-time line element is defined using a trace. In the present paper, following the theory of Trace Dynamics, we construct a statistical thermodynamics for the non-commutative special (...)
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  13.  22
    Margarita Vázquez & Manuel Liz (2011). Models as Points of View: The Case of System Dynamics. [REVIEW] Foundations of Science 16 (4):383-391.
    We propose an analysis of the notion of model as crucially related to the notion of point of view. A model in this sense would always suggest a certain way of looking at a real system, a certain way of thinking about it and a certain way of acting upon it. We focus on System Dynamics as a paradigmatic case with respect to many of the features and problems we can find in the field of modelling and simulation. We (...)
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  14.  86
    Jan Westerhoff (2002). Defining Ontological Categories in an Expansion of Belief Dynamics. Logic and Logical Analysis 10 (3):199-210.
    There have been attempts to get some logic out of belief dynamics, i.e. attempts to define the constants of propositional logic in terms of functions from sets of beliefs to sets of beliefs. It is interesting to see whether something similar can be done for ontological categories, i.e. ontological constants. The theory presented here will be a (modest) expansion of belief dynamics: it will not only incorporate beliefs, but also parts of beliefs, so called belief fragments. On the (...)
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  15.  36
    J. McKenzie Alexander (2010). Local Interactions and the Dynamics of Rational Deliberation. Philosophical Studies 147 (1):103 - 121.
    Whereas The Stag Hunt and the Evolution of Social Structure supplements Evolution of the Social Contract by examining some of the earlier work’s strategic problems in a local interaction setting, no equivalent supplement exists for The Dynamics of Rational Deliberation . In this article, I develop a general framework for modeling the dynamics of rational deliberation in a local interaction setting. In doing so, I show that when local interactions are permitted, three interesting phenomena occur: (a) the attracting (...)
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  16.  20
    Sumiyoshi Abe (2014). Fokker–Planck Theory of Nonequilibrium Systems Governed by Hierarchical Dynamics. Foundations of Physics 44 (2):175-182.
    Dynamics of complex systems is often hierarchically organized on different time scales. To understand the physics of such hierarchy, here Brownian motion of a particle moving through a fluctuating medium with slowly varying temperature is studied as an analytically tractable example, and a kinetic theory is formulated for describing the states of the particle. What is peculiar here is that the (inverse) temperature is treated as a dynamical variable. Dynamical hierarchy is introduced in conformity with the adiabatic scheme. Then, (...)
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  17.  20
    Jeffrey Carpenter & Peter Hans Matthews (2005). No Switchbacks: Rethinking Aspiration-Based Dynamics in the Ultimatum Game. [REVIEW] Theory and Decision 58 (4):351-385.
    Aspiration-based evolutionary dynamics have recently been used to model the evolution of fair play in the ultimatum game showing that incredible threats to reject low offers persist in equilibrium. We focus on two extensions of this analysis: we experimentally test whether assumptions about agent motivations (aspiration levels) and the structure of the game (binary strategy space) reflect actual play, and we examine the problematic assumption embedded in the standard replicator dynamic that unhappy agents who switch strategies may return to (...)
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  18.  12
    Philipp Gerhardy (2008). Proof Mining in Topological Dynamics. Notre Dame Journal of Formal Logic 49 (4):431-446.
    A famous theorem by van der Waerden states the following: Given any finite coloring of the integers, one color contains arbitrarily long arithmetic progressions. Equivalently, for every q,k, there is an N = N(q,k) such that for every q-coloring of an interval of length N one color contains a progression of length k. An obvious question is what is the growth rate of N = N(q,k). Some proofs, like van der Waerden's combinatorial argument, answer this question directly, while the topological (...)
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  19.  36
    Benjamin Schumacher & Michael D. Westmoreland (2012). Isolation and Information Flow in Quantum Dynamics. Foundations of Physics 42 (7):926-931.
    From the structure of quantum dynamics for closed and open systems, we describe several general results about information flow between interacting systems, which can be expressed in diagrammatic form. Conditions on information flow (e.g., that no information is transferred from system A to system B) imply that the overall dynamical evolution has a particular structure. We also remark that one simple type of two-qubit interaction, the unitary CNOT gate, cannot be represented by local operations and a single simultaneous information (...)
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  20.  31
    Mohammadreza Zolfagharian, Reza Akbari & Hamidreza Fartookzadeh (2014). Theory of Knowledge in System Dynamics Models. Foundations of Science 19 (2):189-207.
    Having entered into the problem structuring methods, system dynamics (SD) is an approach, among systems’ methodologies, which claims to recognize the main structures of socio-economic behaviors. However, the concern for building or discovering strong philosophical underpinnings of SD, undoubtedly playing an important role in the modeling process, is a long-standing issue, in a way that there is a considerable debate about the assumptions or the philosophical foundations of it. In this paper, with a new perspective, we have explored theory (...)
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  21.  24
    Andrei Khrennikov (2011). Prequantum Classical Statistical Field Theory: Schrödinger Dynamics of Entangled Systems as a Classical Stochastic Process. [REVIEW] Foundations of Physics 41 (3):317-329.
    The idea that quantum randomness can be reduced to randomness of classical fields (fluctuating at time and space scales which are essentially finer than scales approachable in modern quantum experiments) is rather old. Various models have been proposed, e.g., stochastic electrodynamics or the semiclassical model. Recently a new model, so called prequantum classical statistical field theory (PCSFT), was developed. By this model a “quantum system” is just a label for (so to say “prequantum”) classical random field. Quantum averages can be (...)
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  22.  25
    Brian Skyrms (1992). Chaos in Game Dynamics. Journal of Logic, Language and Information 1 (2):111-130.
    Two examples demonstrate the possibility of extremely complicated non-convergent behavior in evolutionary game dynamics. For the Taylor-Jonker flow, the stable orbits for three strategies were investigated by Zeeman. Chaos does not occur with three strategies. This papers presents numerical evidence that chaotic dynamics on a strange attractor does occur with four strategies. Thus phenomenon is closely related to known examples of complicated behavior in Lotka-Volterra ecological models.
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  23.  69
    Jan Treur (2005). States of Change: Explaining Dynamics by Anticipatory State Properties. Philosophical Psychology 18 (4):441-471.
    In cognitive science, the dynamical systems theory (DST) has recently been advocated as an approach to cognitive modeling that is better suited to the dynamics of cognitive processes than the symbolic/computational approaches are. Often, the differences between DST and the symbolic/computational approach are emphasized. However, alternatively their commonalities can be analyzed and a unifying framework can be sought. In this paper, the possibility of such a unifying perspective on dynamics is analyzed. The analysis covers dynamics in cognitive (...)
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  24.  6
    Giuseppe Vitiello (2015). The Aesthetic Experience as a Characteristic Feature of Brain Dynamics. Aisthesis. Pratiche, Linguaggi E Saperi Dell’Estetico 8 (1):71-89.
    The brain constructs within itself an understanding of its surround which constitutes its own world. This is described as its Double in the frame of the dissipative quantum model of brain, where the perception-action arc in the Merleau-Ponty’s phenomenology of perception finds its formal description. In the dialog with the Double, the continuous attempt to reach the equilibrium shows that the real goal pursued by the brain activity is the aesthetical experience, the most harmonious “to-be-in-the-world” reached through reciprocal actions, the (...)
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  25.  47
    Tibor Bosse, Martijn C. Schut & Jan Treur (2009). Formal Analysis of Dynamics Within Philosophy of Mind by Computer Simulation. Minds and Machines 19 (4):543-555.
    Computer simulations can be useful tools to support philosophers in validating their theories, especially when these theories concern phenomena showing nontrivial dynamics. Such theories are usually informal, whilst for computer simulation a formally described model is needed. In this paper, a methodology is proposed to gradually formalise philosophical theories in terms of logically formalised dynamic properties. One outcome of this process is an executable logic-based temporal specification, which within a dedicated software environment can be used as a simulation model (...)
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  26.  15
    Theo H. Veldsman (2012). The Soft Underbelly of Corporate Governance (Part 1): The Hardware of Board Dynamics. African Journal of Business Ethics 6 (1):56.
    In spite of the abundance of corporate governance codes, legislation to ensure compliance and stock exchange reporting requirements, corporate failures still persist because of poor governance. It can be argued that though the 'rules of the road' - codes, legislation, and requirements - are in place, the chances of governance failure will remain high if explicit attention is not given to 'soft' governance: The black box of what happens behind the boardroom door in terms of board dynamics. The relatively (...)
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  27.  17
    John R. Fanchi (2011). Manifestly Covariant Quantum Theory with Invariant Evolution Parameter in Relativistic Dynamics. Foundations of Physics 41 (1):4-32.
    Manifestly covariant quantum theory with invariant evolution parameter is a parametrized relativistic dynamical theory. The study of parameterized relativistic dynamics (PRD) helps us understand the consequences of changing key assumptions of quantum field theory (QFT). QFT has been very successful at explaining physical observations and is the basis of the conventional paradigm, which includes the Standard Model of electroweak and strong interactions. Despite its record of success, some phenomena are anomalies that may require a modification of the Standard Model. (...)
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  28.  13
    Eunice McCarthy (2013). The Dynamics of Culture, Innovation and Organisational Change: A Nano-Psychology Future Perspective of the Psycho-Social and Cultural Underpinnings of Innovation and Technology. AI and Society 28 (4):471-482.
    This article addresses salient conceptual issues in social organisational psychology in probing change in organisational systems, e.g., culture, innovation and implementation, reflective practice and change models. Insights from chaos–complexity research in the natural sciences which underpin the dynamics of flux and change to unravel the hidden, the unexplained, the disordered will be built on to explore the phenomena of change from a social psychological perspective. The concept of nano-psychology is introduced to open up a creative debate in the social (...)
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  29.  11
    Gro Ellen Mathisen, Torvald Ogaard & Einar Marnburg (2013). Women in the Boardroom: How Do Female Directors of Corporate Boards Perceive Boardroom Dynamics? [REVIEW] Journal of Business Ethics 116 (1):87-97.
    This study investigated how female directors of corporate boards of directors (BoD) experience boardroom dynamics. The study represents an initial research trend that moves from a unilateral focus on financial outcomes of female representation in BoDs toward stronger attention on the social dynamics in the boardroom. Drawing on social identity theory, the study proposed that female directors often constitute an out-group within the BoD, preventing them from experiencing positive board dynamics. More specifically, the study explored the extent (...)
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  30.  35
    Michael A. Arbib & Péter Érdi (2000). Précis of Neural Organization: Structure, Function, and Dynamics. Behavioral and Brain Sciences 23 (4):513-533.
    Neural organization: Structure, function, and dynamics shows how theory and experiment can supplement each other in an integrated, evolving account of the brain's structure, function, and dynamics. (1) Structure: Studies of brain function and dynamics build on and contribute to an understanding of many brain regions, the neural circuits that constitute them, and their spatial relations. We emphasize Szentágothai's modular architectonics principle, but also stress the importance of the microcomplexes of cerebellar circuitry and the lamellae of hippocampus. (...)
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  31.  12
    Henrique Gomes & Tim Koslowski (2013). Frequently Asked Questions About Shape Dynamics. Foundations of Physics 43 (12):1428-1458.
    Barbour’s interpretation of Mach’s principle led him to postulate that gravity should be formulated as a dynamical theory of spatial conformal geometry, or in his terminology, “shapes.” Recently, it was shown that the dynamics of General Relativity can indeed be formulated as the dynamics of shapes. This new Shape Dynamics theory, unlike earlier proposals by Barbour and his collaborators, implements local spatial conformal invariance as a gauge symmetry that replaces refoliation invariance in General Relativity. It is the (...)
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  32.  13
    Theo H. Veldsman (2012). The Soft Underbelly of Corporate Governance (Part 2): The Software of Board Dynamics. African Journal of Business Ethics 6 (1):65.
    In spite of the abundance of corporate governance codes, legislation to ensure compliance, and stock exchange reporting requirements, corporate failures still persist because of poor governance. It can be argued that though the 'rules of the road' - codes, legislation, and requirements - are in place, the chances of governance failure will remain high if explicit attention is not given to 'soft' governance: the black box of what happens behind the boardroom door in terms of board dynamics. The relatively (...)
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  33.  11
    Domagoj Kuić, Paško Županović & Davor Juretić (2012). Macroscopic Time Evolution and MaxEnt Inference for Closed Systems with Hamiltonian Dynamics. Foundations of Physics 42 (2):319-339.
    MaxEnt inference algorithm and information theory are relevant for the time evolution of macroscopic systems considered as problem of incomplete information. Two different MaxEnt approaches are introduced in this work, both applied to prediction of time evolution for closed Hamiltonian systems. The first one is based on Liouville equation for the conditional probability distribution, introduced as a strict microscopic constraint on time evolution in phase space. The conditional probability distribution is defined for the set of microstates associated with the set (...)
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  34.  7
    H. Andréka, J. X. Madarász, I. Németi & G. Székely (2008). Axiomatizing Relativistic Dynamics Without Conservation Postulates. Studia Logica 89 (2):163 - 186.
    A part of relativistic dynamics is axiomatized by simple and purely geometrical axioms formulated within first-order logic. A geometrical proof of the formula connecting relativistic and rest masses of bodies is presented, leading up to a geometric explanation of Einstein's famous E = mc² . The connection of our geometrical axioms and the usual axioms on the conservation of mass, momentum and four-momentum is also investigated.
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  35.  7
    Joyce Apsel (2009). The Complexity of Destruction in Darfur: Historical Processes and Regional Dynamics. [REVIEW] Human Rights Review 10 (2):239-259.
    This paper analyzes the complex historical and regional factors that contribute to the escalation of destruction from 2003 on in Darfur. Darfur is not an isolated case that suddenly erupted in violence. It is the most recent case in a long history of repeated violations by the Sudanese state against its citizens. From the use of proxy militias (the Janjaweed) to signing peace agreements that fragment and weaken the opposition, destruction in Darfur continues government strategies of divide and rule. At (...)
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  36.  8
    J. A. E. Roa-Neri & J. L. Jiménez (2002). An Alternative Approach to the Classical Dynamics of an Extended Charged Particle. Foundations of Physics 32 (10):1617-1634.
    In this paper the analysis of the classical dynamics of a charged particle is carried out without considering that the electromagnetic field necessarily goes to zero at infinity. A quite general non-linear equation of motion is obtained for an extended charged particle valid for any distribution of charge in the particle and for an electromagnetic field satisfying any boundary conditions. Some common approximations are analyzed with detail to determine how the usual difficulties arise.
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  37.  5
    Douglas Cenzer, S. Ali Dashti & Jonathan L. F. King (2008). Computable Symbolic Dynamics. Mathematical Logic Quarterly 54 (5):460-469.
    We investigate computable subshifts and the connection with effective symbolic dynamics. It is shown that a decidable Π01 class P is a subshift if and only if there exists a computable function F mapping 2ℕ to 2ℕ such that P is the set of itineraries of elements of 2ℕ. Π01 subshifts are constructed in 2ℕ and in 2ℤ which have no computable elements. We also consider the symbolic dynamics of maps on the unit interval.
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  38.  7
    Margarita VáZquez & Manuel Liz (2011). Models as Points of View: The Case of System Dynamics. [REVIEW] Foundations of Science 16 (4):383-391.
    We propose an analysis of the notion of model as crucially related to the notion of point of view. A model in this sense would always suggest a certain way of looking at a real system, a certain way of thinking about it and a certain way of acting upon it. We focus on System Dynamics as a paradigmatic case with respect to many of the features and problems we can find in the field of modelling and simulation. We (...)
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  39.  6
    Zeev Posner (2012). Spatio-Cultural Evolution as Information Dynamics: Part I. [REVIEW] Foundations of Science 17 (2):125-162.
    A view of evolution is presented in this paper (a two paper series), intended as a methodological infrastructure for modeling spatio-cultural systems (the design outline of such a model is presented in paper II). A motivation for the re-articulation of evolution as information dynamics is the phenomenologically discovered prerequisite of embedding a meaning-attributing apparatus in any and all models of spatio-cultural systems. An evolution is construed as the dynamics of a complex system comprised of memory devices, connected in (...)
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  40.  2
    Dževad Hodžić (2011). Whiteheadova filozofija prirode i bioetika. Filozofska Istrazivanja 31 (2):291-297.
    Polazeći od situacije u kojoj se sve više uviđa da bismo morali mijenjati naš odnos prema prirodi, može biti značajno postaviti pitanje – može li Whiteheadova filozofija prirode, koja predstavlja jedan izuzetan i izniman misaoni sustav, cjelovitu teoriju prirode, pomoći u nastojanju da se ponovno zadobije pojam prirode u mišljenju? U tome smislu, ovdje se u najopćenitijim naznakama razmatraju neki temeljni pojmovi i karakteristike Whiteheadove filozofije prirode.Ključni pojmovi Whiteheadove filozofije prirode su: ‘proces’, ‘organizam’ i ‘aktualni entitet’. Stvarnost je proces koji (...)
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  41. Cristina Bicchieri (2006). The Grammar of Society: The Nature and Dynamics of Social Norms. Cambridge University Press.
    In The Grammar of Society, first published in 2006, Cristina Bicchieri examines social norms, such as fairness, cooperation, and reciprocity, in an effort to understand their nature and dynamics, the expectations that they generate, and how they evolve and change. Drawing on several intellectual traditions and methods, including those of social psychology, experimental economics and evolutionary game theory, Bicchieri provides an integrated account of how social norms emerge, why and when we follow them, and the situations where we are (...)
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  42.  34
    Michael Gibbons (ed.) (1994). The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies. Sage Publications.
    As we approach the end of the twentieth century, the ways in which knowledge--scientific, social, and cultural--is produced are undergoing fundamental changes. In The New Production of Knowledge, a distinguished group of authors analyze these changes as marking the transition from established institutions, disciplines, practices, and policies to a new mode of knowledge production. Identifying such elements as reflexivity, transdisciplinarity, and heterogeneity within this new mode, the authors consider their impact and interplay with the role of knowledge in social relations. (...)
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  43.  22
    P. Fries (2005). A Mechanism for Cognitive Dynamics: Neuronal Communication Through Neuronal Coherence. Trends in Cognitive Sciences 9 (10):474-480.
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  44. Christopher J. G. Meacham (2008). Sleeping Beauty and the Dynamics of de Se Beliefs. Philosophical Studies 138 (2):245-269.
    This paper examines three accounts of the sleeping beauty case: an account proposed by Adam Elga, an account proposed by David Lewis, and a third account defended in this paper. It provides two reasons for preferring the third account. First, this account does a good job of capturing the temporal continuity of our beliefs, while the accounts favored by Elga and Lewis do not. Second, Elga’s and Lewis’ treatments of the sleeping beauty case lead to highly counterintuitive consequences. The proposed (...)
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  45.  36
    Cristiano Castelfranchi & Fabio Paglieri (2007). The Role of Beliefs in Goal Dynamics: Prolegomena to a Constructive Theory of Intentions. Synthese 155 (2):237-263.
    In this article we strive to provide a detailed and principled analysis of the role of beliefs in goal processing—that is, the cognitive transition that leads from a mere desire to a proper intention. The resulting model of belief-based goal processing has also relevant consequences for the analysis of intentions, and constitutes the necessary core of a constructive theory of intentions, i.e. a framework that not only analyzes what an intention is, but also explains how it becomes what it is. (...)
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  46.  5
    Itamar Lerner, Shlomo Bentin & Oren Shriki (2012). Spreading Activation in an Attractor Network With Latching Dynamics: Automatic Semantic Priming Revisited. Cognitive Science 36 (8):1339-1382.
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  47.  6
    Christopher M. O'Connor, George S. Cree & Ken McRae (2009). Conceptual Hierarchies in a Flat Attractor Network: Dynamics of Learning and Computations. Cognitive Science 33 (4):665-708.
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  48.  6
    Anton Markoš & Jana Švorcová (2009). Recorded Versus Organic Memory: Interaction of Two Worlds as Demonstrated by the Chromatin Dynamics. Biosemiotics 2 (2):131-149.
    The “histone code” conjecture of gene regulation is our point of departure for analyzing the interplay between the (quasi)digital script in nucleic acids and proteins on the one hand and the body on the other, between the recorded and organic memory. We argue that the cell’s ability to encode its states into strings of “characters” dramatically enhances the capacity of encoding its experience (organic memory). Finally, we present our concept of interaction between the natural (bodily) world, and the transcendental realm (...)
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  49.  38
    Rick Dale & Nicholas D. Duran (2011). The Cognitive Dynamics of Negated Sentence Verification. Cognitive Science 35 (5):983-996.
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  50.  6
    Joseph A. Marsh & Sarah A. Teichmann (2014). Parallel Dynamics and Evolution: Protein Conformational Fluctuations and Assembly Reflect Evolutionary Changes in Sequence and Structure. Bioessays 36 (2):209-218.
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