Results for 'Dynamical systems'

998 found
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  1. 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 demands (...)
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  2. 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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  3. 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 (...)
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  4. 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 the (...)
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  5. 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. These (...)
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  6. 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 is (...)
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  7. Sense-Making and Symmetry-Breaking: Merleau-Ponty, Cognitive Science, and Dynamic Systems Theory.Noah Moss Brender - 2013 - Symposium: Canadian Journal of Continental Philosophy/Revue canadienne de philosophie continentale 17 (2):247-273.
    From his earliest work forward, phenomenologist Maurice Merleau-Ponty attempted to develop a new ontology of nature that would avoid the antinomies of realism and idealism by showing that nature has its own intrinsic sense which is prior to reflection. The key to this new ontology was the concept of form, which he appropriated from Gestalt psychology. However, Merleau-Ponty struggled to give a positive characterization of the phenomenon of form which would clarify its ontological status. Evan Thompson has recently taken up (...)
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  8. 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 (...)
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  9. 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 never hurt (...)
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  10. 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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  11. Emulation, Reduction, and Emergence in Dynamical Systems.Marco Giunti - 2005 - In Proceedings of the 6th Systems Science European Congress, Paris, September 19-22, 2005. (CD-ROM). AFSCET.
    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 (...)
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  12. The Extended Mind: A Dynamical Systems Perspective.Andy Forceno - manuscript
    Clark and Chalmers (2002) advance two hypotheses that both cognition and the mind extend into the environment. Both hypotheses are grounded in active externalism about mental content and the Parity Principle. Active externalism proposes that the external features of the environment in the present directly influence our mental contents and behavior. The Parity Principle states that a process or state in the environment is cognitive if it is functionally equivalent to a comparable intracranial cognitive process. This paper reviews two of (...)
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  13. Cognition, Computing and Dynamic Systems.Mario Villalobos & Joe Dewhurst - 2016 - Límite. Revista Interdisciplinaria de Filosofía y Psicología 1.
    Traditionally, computational theory (CT) and dynamical systems theory (DST) have presented themselves as opposed and incompatible paradigms in cognitive science. There have been some efforts to reconcile these paradigms, mainly, by assimilating DST to CT at the expenses of its anti-representationalist commitments. In this paper, building on Piccinini’s mechanistic account of computation and the notion of functional closure, we explore an alternative conciliatory strategy. We try to assimilate CT to DST by dropping its representationalist commitments, and by inviting (...)
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  14.  85
    Eye-Contact and Complex Dynamic Systems: An Hypothesis on Autism's Direct Cause and a Clinical Study Addressing Prevention.Maxson J. McDowell - manuscript
    Estimates of autism’s incidence increased 5-10 fold in ten years, an increase which cannot be genetic. Though many mutations are associated with autism, no mutation seems directly to cause autism. We need to find the direct cause. Complexity science provides a new paradigm - confirmed in biology by extensive hard data. Both the body and the personality are complex dynamic systems which spontaneously self-organize from simple dynamic systems. Autism may therefore be caused by the failure of a simple (...)
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  15.  31
    On Gadamerian Hermeneutics: Fusions of Horizons, Dialogue, and Evolution(s) Within Culture as Dynamic System of Meaning.Iñaki Xavier Larrauri Pertierra - 2020 - Eidos. A Journal for Philosophy of Culture 4 (4):45-62.
    Culture as a dynamic system of meaningful relations can naturally accommodate a hermeneutic analysis. In this essay, the notion of Gadamer’s hermeneutics as involving interpretable meaning throughout experiential reality permits a natural concordance with an understanding of culture as meaningful. The Gadamerian idea that prejudices inform the horizons that make our experiences intelligible is applied to the view that culture is both a self-enclosed structure that is given by one’s horizon and one that continuously points past this horizon in genuine (...)
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  16.  85
    On the History of the Isomorphism Problem of Dynamical Systems with Special Regard to von Neumann’s Contribution.Miklos Redei & Charlotte Werndl - 2012 - Archive for History of Exact Sciences 66 (1):71-93.
    This paper reviews some major episodes in the history of the spatial isomorphism problem of dynamical systems theory. In particular, by analysing, both systematically and in historical context, a hitherto unpublished letter written in 1941 by John von Neumann to Stanislaw Ulam, this paper clarifies von Neumann's contribution to discovering the relationship between spatial isomorphism and spectral isomorphism. The main message of the paper is that von Neumann's argument described in his letter to Ulam is the very first (...)
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  17.  43
    Dimensional Theoretical Properties of Some Affine Dynamical Systems.Jörg Neunhäuserer - 1999 - Dissertation,
    In this work we study dimensional theoretical properties of some a±ne dynamical systems. By dimensional theoretical properties we mean Hausdor® dimension and box- counting dimension of invariant sets and ergodic measures on theses sets. Especially we are interested in two problems. First we ask whether the Hausdor® and box- counting dimension of invariant sets coincide. Second we ask whether there exists an ergodic measure of full Hausdor® dimension on these invariant sets. If this is not the case we (...)
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  18.  38
    Adaptive Control Using Nonlinear Autoregressive-Moving Average-L2 Model for Realizing Neural Controller for Unknown Finite Dimensional Nonlinear Discrete Time Dynamical Systems.Mustefa Jibril, Mesay Tadesse & Nurye Hassen - 2021 - Journal of Engineering and Applied Sciences 16 (3):130-137.
    This study considers the problem of using approximate way for realizing the neural supervisor for nonlinear multivariable systems. The Nonlinear Autoregressive-Moving Average (NARMA) model is an exact transformation of the input-output behavior of finite-dimensional nonlinear discrete time dynamical organization in a hoodlum of the equilibrium state. However, it is not convenient for intention of adaptive control using neural networks due to its nonlinear dependence on the control input. Hence, quite often, approximate technique are used for realizing the neural (...)
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  19.  74
    A Kinematic Model for a Partially Resolved Dynamical System in a Euclidean.Mohammed Sanduk - 2012 - Journal of Mathematical Modelling and Application 1 (6):40-51.
    The work is an attempt to transfer a structure from Euclidean plane (pure geometrical) under the physical observation limit (resolving power) to a physical space (observable space). The transformation from the mathematical space to physical space passes through the observation condition. The mathematical modelling is adopted. The project is based on two stapes: (1) Looking for a simple mathematical model satisfies the definition of Euclidian plane; (2)That model is examined against three observation resolution conditions (resolved, unresolved and partially resolved). The (...)
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  20. A Counterexample T o All Future Dynamic Systems Theories of Cognition.Eric Dietrich - 2000 - J. Of Experimental and Theoretical AI 12 (2):377-382.
    Years ago, when I was an undergraduate math major at the University of Wyoming, I came across an interesting book in our library. It was a book of counterexamples t o propositions in real analysis (the mathematics of the real numbers). Mathematicians work more or less like the rest of us. They consider propositions. If one seems to them to be plausibly true, then they set about to prove it, to establish the proposition as a theorem. Instead o f setting (...)
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  21. ALGEBRA OF FUNDAMENTAL MEASUREMENTS AS A BASIS OF DYNAMICS OF ECONOMIC SYSTEMS.Sergiy Melnyk - 2012 - arXiv.
    We propose an axiomatic approach to constructing the dynamics of systems, in which one the main elements 9e8 is the consciousness of a subject. The main axiom is the statements that the state of consciousness is completely determined by the results of measurements performed on it. In case of economic systems we propose to consider an offer of transaction as a fundamental measurement. Transactions with delayed choice, discussed in this paper, represent a logical generalization of incomplete transactions and (...)
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  22. Dynamic Change of Awareness During Meditation Techniques: Neural and Physiological Correlates.Jerath Ravinder, Vernon A. Barnes, David Dillard-Wright, Shivani Jerath & Brittany Hamilton - 2012 - Frontiers in Human Neuroscience 6:1-5.
    Recent fndings illustrate how changes in consciousness accommodated by neural correlates and plasticity of the brain advance a model of perceptual change as a function of meditative practice. During the mindbody response neural correlates of changing awareness illustrate how the autonomic nervous system shifts from a sympathetic dominant to a parasympathetic dominant state. Expansion of awareness during the practice of meditation techniques can be linked to the Default Mode Network (DMN), a network of brain regions that is active when the (...)
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  23. Empathy, Engagement, Entrainment: The Interaction Dynamics of Aesthetic Experience.Ingar Brinck - 2018 - Cognitive Processing 2 (19):201-213.
    A recent version of the view that aesthetic experience is based in empathy as inner imitation explains aesthetic experience as the automatic simulation of actions, emotions, and bodily sensations depicted in an artwork by motor neurons in the brain. Criticizing the simulation theory for committing to an erroneous concept of empathy and failing to distinguish regular from aesthetic experiences of art, I advance an alternative, dynamic approach and claim that aesthetic experience is enacted and skillful, based in the recognition of (...)
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  24. Beyond Subgoaling: A Dynamic Knowledge Generation Framework for Creative Problem Solving in Cognitive Architectures.Antonio Lieto - 2019 - Cognitive Systems Research 58:305-316.
    In this paper we propose a computational framework aimed at extending the problem solving capabilities of cognitive artificial agents through the introduction of a novel, goal-directed, dynamic knowledge generation mechanism obtained via a non monotonic reasoning procedure. In particular, the proposed framework relies on the assumption that certain classes of problems cannot be solved by simply learning or injecting new external knowledge in the declarative memory of a cognitive artificial agent but, on the other hand, require a mechanism for the (...)
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  25. Developmental Systems Theory as a Process Theory.Paul Edmund Griffiths & Karola Stotz - forthcoming - In Daniel J. Nicholson & John Dupre (eds.), Everything Flows: Towards a Processual Philosophy of Biology. Oxford & New York: Oxford University Press. pp. 00-00.
    Griffiths and Russell D. Gray (1994, 1997, 2001) have argued that the fundamental unit of analysis in developmental systems theory should be a process – the life cycle – and not a set of developmental resources and interactions between those resources. The key concepts of developmental systems theory, epigenesis and developmental dynamics, both also suggest a process view of the units of development. This chapter explores in more depth the features of developmental systems theory that favour treating (...)
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  26. Convergence, Continuity and Recurrence in Dynamic Epistemic Logic.Dominik Klein & Rasmus K. Rendsvig - 2017 - In Alexandru Baltag, Jeremy Seligman & Tomoyuki Yamada (eds.), Logic, Rationality, and Interaction (LORI 2017, Sapporo, Japan). Springer. pp. 108-122.
    The paper analyzes dynamic epistemic logic from a topological perspective. The main contribution consists of a framework in which dynamic epistemic logic satisfies the requirements for being a topological dynamical system thus interfacing discrete dynamic logics with continuous mappings of dynamical systems. The setting is based on a notion of logical convergence, demonstratively equivalent with convergence in Stone topology. Presented is a flexible, parametrized family of metrics inducing the latter, used as an analytical aid. We show maps (...)
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  27.  71
    Typicality of Dynamics and the Laws of Nature.Aldo Filomeno - 2021 - In Cristian Soto (ed.), Current Debates in Philosophy of Science: In Honor of Roberto Torretti. Synthese Library Series, Springer.
    Certain results, most famously in classical statistical mechanics and complex systems, but also in quantum mechanics and high-energy physics, yield a coarse-grained stable statistical pattern in the long run. The explanation of these results shares a common structure: the results hold for a 'typical' dynamics, that is, for most of the underlying dynamics. In this paper I argue that the structure of the explanation of these results might shed some light --a different light-- on philosophical debates on the laws (...)
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  28. Imperative Statics and Dynamics.Nate Charlow - manuscript
    Imperatives are linguistic devices used by an authority (speaker) to express wishes, requests, commands, orders, instructions, and suggestions to a subject (addressee). This essay's goal is to tentatively address some of the following questions about the imperative. -/- METASEMANTIC. What is the menu of options for understanding fundamental semantic notions like satisfaction, truth-conditions, validity, and entailment in the context of imperatives? Are there good imperative arguments, and, if so, how are they to be characterized? What are the options for understanding (...)
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  29. Modeling Economic Systems as Locally-Constructive Sequential Games.Leigh Tesfatsion - 2017 - Journal of Economic Methodology 24 (4):1-26.
    Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling (...)
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  30. An Intelligent Tutoring System for Learning Introduction to Computer Science.Ahmad Marouf, Mohammed K. Abu Yousef, Mohammed N. Mukhaimer & Samy S. Abu-Naser - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (2):1-8.
    The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer science (...)
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  31. Continuity of Change in Kant’s Dynamics.Michael McNulty - 2019 - Synthese 196 (4):1595-1622.
    Since his Metaphysische Anfangsgründe der Naturwissenschaft was first published in 1786, controversy has surrounded Immanuel Kant’s conception of matter. In particular, the justification for both his dynamical theory of matter and the related dismissal of mechanical philosophy are obscure. In this paper, I address these longstanding issues and establish that Kant’s dynamism rests upon Leibnizian, metaphysical commitments held by Kant from his early pre-Critical texts on natural philosophy to his major critical works. I demonstrate that, throughout his corpus and (...)
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  32.  59
    Dynamical Causes.Russell Meyer - 2020 - Biology and Philosophy 35 (5):1-21.
    Mechanistic explanations are often said to explain because they reveal the causal structure of the world. Conversely, dynamical models supposedly lack explanatory power because they do not describe causal structure. The only way for dynamical models to produce causal explanations is via the 3M criterion: the model must be mapped onto a mechanism. This framing of the situation has become the received view around the viability of dynamical explanation. In this paper, I argue against this position and (...)
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  33. Logical Inference and Its Dynamics.Carlotta Pavese - June 2016 - In Tamminga Allard, Willer Malte & Roy Olivier (eds.), Deontic Logic and Normative Systems. College Publications. pp. 203-219.
    This essay advances and develops a dynamic conception of inference rules and uses it to reexamine a long-standing problem about logical inference raised by Lewis Carroll’s regress.
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  34. Perception, Action, and Consciousness: Sensorimotor Dynamics and Two Visual Systems[REVIEW]Mirko Farina - 2011 - Journal of Mind and Behavior 32 (4).
    Perception, Action, and Consciousness: Sensorimotor Dynamics and Two Visual Systems is a state-of-the-art collection whose main goal is to explore, from an interdisciplinary perspective, the relationship between action and perception. A second goal of the volume is to investigate how perception and action interact specifically in the production of phenomenal awareness. In presenting and contrasting the major perspectives on the field, this volume marks a good sign of the progress being made on the nature of phenomenally conscious visual experience. (...)
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  35. Belief Dynamics: (Epistemo)Logical Investigations.Allard Tamminga - 2001 - Dissertation, University of Amsterdam
    C.S. Peirce's and Isaac Levi's accounts of the belief-doubt-belief model are discussed and evaluated. It is argued that the contemporary study of belief change has metamorphosed into a branch of philosophical logic where empirical considerations have become obsolete. A case is made for reformulations of belief change systems that do allow for empirical tests. Last, a belief change system is presented that (1) uses finite representations of information, (2) can adequately deal with inconsistencies, (3) has finite operations of change, (...)
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  36. The Dynamic Role of Breathing and Cellular Membrane Potentials in the Experience of Consciousness.Jerath Ravinder, Shannon M. Cearley, Vernon A. Barnes & Santiago Junca - 2017 - World Journal of Neuroscience 7:66-81.
    Understanding the mechanics of consciousness remains one of the most important challenges in modern cognitive science. One key step toward understanding consciousness is to associate unconscious physiological processes with subjective experiences of sensory, motor, and emotional contents. This article explores the role of various cellular membrane potential differences and how they give rise to the dynamic infrastructure of conscious experience. This article explains that consciousness is a body-wide, biological process not limited to individual organs because the mind and body are (...)
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  37. A System of Heterogenesis: Deleuze on Plurality.Martijn Boven - 2014 - In van der Heiden (ed.), Phenomenological Perspectives on Plurality. Brill. pp. 175-194.
    In almost all of his early works Gilles Deleuze is concerned with one and the same problem: the problem of genesis. In response to this problem, Deleuze argues for a system of heterogenesis. In this article, I argue that Deleuze’s system of heterogenesis operates on three levels: (1) the differential multiplicity of virtual Ideas; (2) the implied multiplicity of intensive dramas; (3) the extensive and qualitative diversity of actual concepts. As I hope to show, the relation between these three levels (...)
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  38. Symmetry-Breaking Dynamics in Development.Noah Moss Brender - 2017 - Phenomenology and the Cognitive Sciences 16 (4):585-596.
    Recognition of the plasticity of development — from gene expression to neuroplasticity — is increasingly undermining the traditional distinction between structure and function, or anatomy and behavior. At the same time, dynamic systems theory — a set of tools and concepts drawn from the physical sciences — has emerged as a way of describing what Maurice Merleau-Ponty calls the “dynamic anatomy” of the living organism. This article surveys and synthesizes dynamic systems models of development from biology, neuroscience, and (...)
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  39. Bodily Systems and the Modular Structure of the Human Body.Barry Smith, Igor Papakin & Katherine Munn - 2003 - Artificial Intelligence in Medicine (Lecture Notes on Artificial Intelligence 2780) 9:86-90.
    Medical science conceives the human body as a system comprised of many subsystems at a variety of levels. At the highest level are bodily systems proper, such as the endocrine system, which are central to our understanding of human anatomy, and play a key role in diagnosis and in dynamic modeling as well as in medical pedagogy and computer visualization. But there is no explicit definition of what a bodily system is; such informality is acceptable in documentation created for (...)
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  40. Development and Evaluation of the Oracle Intelligent Tutoring System (OITS).Rami Aldahdooh & Samy S. Abu Naser - 2017 - European Academic Research 4 (10).
    This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...)
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  41.  21
    Realistics Premises of Epistemic Argumentation for Dynamic Epistemic Logics.Edward Bryniarski, Zbigniew Bonikowski, Jacek Waldmajer & Urszula Wybraniec-Skardowska - 2011 - Studies in Logic, Grammar and Rhetoric 23 (36):173-187.
    In the paper, certain rational postulates for protocols describing real communicating are introduced.These rational postulates, on the one hand, allow assigning a certain typology of real systems of interactions, which is consistent with the reality of epistemic argumentation in systems of communicating, and on the other one – defining rules of using argumentation in real situations. Moreover, the presented postulates for protocols characterize information networks and administering knowledge in real interactivity systems. Due to the epistemic character of (...)
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  42.  94
    Analysis of Minimal Complex Systems and Complex Problem Solving Require Different Forms of Causal Cognition.Joachim Funke - 2014 - Frontiers in Psychology 5.
    In the last 20 years, a stream of research emerged under the label of „complex problem solving“ (CPS). This research was intended to describe the way people deal with complex, dynamic, and intransparent situations. Complex computer-simulated scenarios were as stimulus material in psychological experiments. This line of research lead to subtle insights into the way how people deal with complexity and uncertainty. Besides these knowledge-rich, realistic, intransparent, complex, dynamic scenarios with many variables, a second line of research used more simple, (...)
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  43. Dynamic Tableaux for Dynamic Modal Logics.Jonas De Vuyst - 2013 - Dissertation, Vrije Universiteit Brussel
    In this dissertation we present proof systems for several modal logics. These proof systems are based on analytic (or semantic) tableaux. -/- Modal logics are logics for reasoning about possibility, knowledge, beliefs, preferences, and other modalities. Their semantics are almost always based on Saul Kripke’s possible world semantics. In Kripke semantics, models are represented by relational structures or, equivalently, labeled graphs. Syntactic formulas that express statements about knowledge and other modalities are evaluated in terms of such models. -/- (...)
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  44.  34
    Dynamic Cognition Applied to Value Learning in Artificial Intelligence.Nythamar De Oliveira & Nicholas Corrêa - 2021 - Aoristo - International Journal of Phenomenology, Hermeneutics and Metaphysics 4 (2):185-199.
    Experts in Artificial Intelligence (AI) development predict that advances in the dvelopment of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance isn't done with prudence, it can result in negative outcomes for humanity. For this reason, several researchers in the area are trying to develop a robust, beneficial, and safe concept of artificial intelligence. Currently, several of the open problems in the field of AI research arise from the difficulty of avoiding (...)
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  45. Relational Dynamics and Strategies: Men and Women in a Forest Community in Sweden. [REVIEW]Seema Arora-Jonsson - 2004 - Agriculture and Human Values 21 (4):355-365.
    This article views gender dynamics and strategies for change in a small Swedish village from a systems perspective. In the context of the struggle for the communal management of forests, tensions arose in the relations among the people in the village who differed in their opinions as to how to approach village development. Some village women argued for the importance of issues other than only community forestry in the development of the community's future livelihoods and well-being. They also believed (...)
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  46. Defining the Environment in Organism–Environment Systems.Amanda Corris - 2020 - Frontiers in Psychology 11:1285.
    Enactivism and ecological psychology converge on the relevance of the environment in understanding perception and action. On both views, perceiving organisms are not merely passive receivers of environmental stimuli, but rather form a dynamic relationship with their environments in such a way that shapes how they interact with the world. In this paper, I suggest that while enactivism and ecological psychology enjoy a shared specification of the environment as the cognitive domain, on both accounts, the structure of the environment, itself, (...)
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  47. The Sum of the Parts: Large-Scale Modeling in Systems Biology.Fridolin Gross & Sara Green - 2017 - Philosophy, Theory, and Practice in Biology 9 (10).
    Systems biologists often distance themselves from reductionist approaches and formulate their aim as understanding living systems “as a whole.” Yet, it is often unclear what kind of reductionism they have in mind, and in what sense their methodologies would offer a superior approach. To address these questions, we distinguish between two types of reductionism which we call “modular reductionism” and “bottom-up reductionism.” Much knowledge in molecular biology has been gained by decomposing living systems into functional modules or (...)
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  48. Complex Systems Biology.Roberto Serra - 2012 - In Vincenzo Fano, Enrico Giannetto, Giulia Giannini & Pierluigi Graziani (eds.), Complessità e Riduzionismo. pp. 100-107.
    The term “Complex Systems Biology” was introduced a few years ago [Kaneko, 2006] and, although not yet of widespread use, it seems particularly well suited to indicate an approach to biology which is well rooted in complex systems science. Although broad generalizations are always dangerous, it is safe to state that mainstream biology has been largely dominated by a gene-centric view in the last decades, due to the success of molecular biology. So the one gene - one trait (...)
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  49. Anticipation and Dynamics: Rosen’s Anticipation in the Perspective of Time.Mihai Nadin - 2010 - International Journal of General Systems 39 (1):3-33.
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  50. Dynamics, Quantum Mechanics and the Indeterminism of Nature.Jörg Neunhäuserer - manuscript
    We show that determinism is false assuming a realistic interpretation of quantum mechanics and considering the sensitive dynamics of macroscopical physical systems.
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