Results for 'Kinematic parameterization'

674 found
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  1.  47
    The Simon Effect in Action: Planning and/or On‐Line Control Effects?Claudia Scorolli, Antonello Pellicano, Roberto Nicoletti, Sandro Rubichi & Umberto Castiello - 2015 - Cognitive Science 39 (5):972-991.
    Choice reaction tasks are performed faster when stimulus location corresponds to response location. This spatial stimulus–response compatibility effect affects performance at the level of action planning and execution. However, when response selection is completed before movement initiation, the Simon effect arises only at the planning level. The aim of this study was to ascertain whether when a precocious response selection is requested, the Simon effect can be detected on the kinematics characterizing the online control phase of a non-ballistic movement. Participants (...)
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  2. Models, Parameterization, and Software: Epistemic Opacity in Computational Chemistry.Frédéric Wieber & Alexandre Hocquet - 2020 - Perspectives on Science 28 (5):610-629.
    . Computational chemistry grew in a new era of “desktop modeling,” which coincided with a growing demand for modeling software, especially from the pharmaceutical industry. Parameterization of models in computational chemistry is an arduous enterprise, and we argue that this activity leads, in this specific context, to tensions among scientists regarding the epistemic opacity transparency of parameterized methods and the software implementing them. We relate one flame war from the Computational Chemistry mailing List in order to assess in detail (...)
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  3.  13
    Relativistic kinematics.Henri Arzeliès - 1966 - New York,: Pergamon Press.
  4.  55
    Kinematics, Dynamics, and the Structure of Physical Theory.Erik Curiel - unknown
    Every physical theory has two different forms of mathematical equations to represent its target systems: the dynamical and the kinematical. Kinematical constraints are differentiated from equations of motion by the fact that their particular form is fixed once and for all, irrespective of the interactions the system enters into. By contrast, the particular form of a system's equations of motion depends essentially on the particular interaction the system enters into. All contemporary accounts of the structure and semantics of physical theory (...)
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  5. The kinematics of belief and desire.Richard Bradley - 2007 - Synthese 156 (3):513-535.
    Richard Jeffrey regarded the version of Bayesian decision theory he floated in ‘The Logic of Decision’ and the idea of a probability kinematics—a generalisation of Bayesian conditioning to contexts in which the evidence is ‘uncertain’—as his two most important contributions to philosophy. This paper aims to connect them by developing kinematical models for the study of preference change and practical deliberation. Preference change is treated in a manner analogous to Jeffrey’s handling of belief change: not as mechanical outputs of combinations (...)
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  6.  14
    Parameterized complexity of envy-free resource allocation in social networks.Eduard Eiben, Robert Ganian, Thekla Hamm & Sebastian Ordyniak - 2023 - Artificial Intelligence 315 (C):103826.
  7.  24
    Parameterized partition relations on the real numbers.Joan Bagaria & Carlos A. Di Prisco - 2009 - Archive for Mathematical Logic 48 (2):201-226.
    We consider several kinds of partition relations on the set ${\mathbb{R}}$ of real numbers and its powers, as well as their parameterizations with the set ${[\mathbb{N}]^{\mathbb{N}}}$ of all infinite sets of natural numbers, and show that they hold in some models of set theory. The proofs use generic absoluteness, that is, absoluteness under the required forcing extensions. We show that Solovay models are absolute under those forcing extensions, which yields, for instance, that in these models for every well ordered partition (...)
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  8. Probability kinematics and commutativity.Carl G. Wagner - 2002 - Philosophy of Science 69 (2):266-278.
    The so-called "non-commutativity" of probability kinematics has caused much unjustified concern. When identical learning is properly represented, namely, by identical Bayes factors rather than identical posterior probabilities, then sequential probability-kinematical revisions behave just as they should. Our analysis is based on a variant of Field's reformulation of probability kinematics, divested of its (inessential) physicalist gloss.
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  9.  22
    Parameterized Special Theory of Relativity (PSTR).Florentin Smarandache - 2012 - Apeiron: Studies in Infinite Nature 19 (2):115-122.
    We have parameterized Einstein’s thought experiment with atomic clocks, supposing that we knew neither if the space and time are relative or absolute, nor if the speed of light was ultimate speed or not. We have obtained a Parameterized Special Theory of Relativity (PSTR) (1982). Our PSTR generalized not only Einstein’s Special Theory of Relativity, but also our Absolute Theory of Relativity, and introduced three more possible Relativities to be studied in the future. After the 2011 CERN’s superluminal neutrino experiments, (...)
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  10.  66
    Kinematics of a Spacetime with an Infinite Cosmological Constant.R. Aldrovandi, A. L. Barbosa, M. Calçada & J. G. Pereira - 2003 - Foundations of Physics 33 (4):613-624.
    A solution of the sourceless Einstein's equation with an infinite value for the cosmological constant Λ is discussed by using Inönü–Wigner contractions of the de Sitter groups and spaces. When Λ→∞, spacetime becomes a four-dimensional cone, dual to Minkowski space by a spacetime inversion. This inversion relates the four-cone vertex to the infinity of Minkowski space, and the four-cone infinity to the Minkowski light-cone. The non-relativistic limit c→∞ is further considered, the kinematical group in this case being a modified Galilei (...)
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  11.  58
    On Kinematic versus Dynamic Approaches to Special Relativity.Wesley Van Camp - 2011 - Philosophy of Science 78 (5):1097-1107.
    Janssen argues that special relativity is preferable to Lorentzian dynamics due to its kinematic structure. Brown, along with others, raises an objection, arguing that a dynamical understanding of special relativity is explanatorily prior and hence more fundamental than the principle theory-based kinematic structure of Minkowski spacetime. This paper challenges this objection, arguing that both Janssen and Brown miss the essential aspect of the principles of special relativity which underwrite its interpretational success. It is not its kinematic structure, (...)
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  12.  19
    The parameterized complexity of maximality and minimality problems.Yijia Chen & Jörg Flum - 2008 - Annals of Pure and Applied Logic 151 (1):22-61.
    Many parameterized problems ask, given an instance and a natural number k as parameter, whether there is a solution of size k. We analyze the relationship between the complexity of such a problem and the corresponding maximality problem asking for a solution of size k maximal with respect to set inclusion. As our results show, many maximality problems increase the parameterized complexity, while “in terms of the W-hierarchy” minimality problems do not increase the complexity. We also address the corresponding construction, (...)
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  13.  21
    Parameterized counting problems.Catherine McCartin - 2006 - Annals of Pure and Applied Logic 138 (1):147-182.
    Parameterized complexity has, so far, been largely confined to consideration of computational problems as decision or search problems. However, it is becoming evident that the parameterized point of view can lead to new insight into counting problems. The goal of this article is to introduce a formal framework in which one may consider parameterized counting problems.
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  14.  22
    Parameterizing and Scoring Mixed Ancestral Graphs.Thomas Richardson & Peter Spirtes - unknown
    Thomas Richardson and Peter Spirtes. Parameterizing and Scoring Mixed Ancestral Graphs.
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  15.  36
    Parameterized Complexity of Theory of Mind Reasoning in Dynamic Epistemic Logic.Iris van de Pol, Iris van Rooij & Jakub Szymanik - 2018 - Journal of Logic, Language and Information 27 (3):255-294.
    Theory of mind refers to the human capacity for reasoning about others’ mental states based on observations of their actions and unfolding events. This type of reasoning is notorious in the cognitive science literature for its presumed computational intractability. A possible reason could be that it may involve higher-order thinking. To investigate this we formalize theory of mind reasoning as updating of beliefs about beliefs using dynamic epistemic logic, as this formalism allows to parameterize ‘order of thinking.’ We prove that (...)
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  16.  95
    Probability kinematics.Zoltan Domotor, Mario Zanotti & Henson Graves - 1980 - Synthese 44 (3):421 - 442.
    Probability kinematics is studied in detail within the framework of elementary probability theory. The merits and demerits of Jeffrey's and Field's models are discussed. In particular, the principle of maximum relative entropy and other principles are used in an epistemic justification of generalized conditionals. A representation of conditionals in terms of Bayesian conditionals is worked out in the framework of external kinematics.
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  17. Conversational Kinematics.Robin McKenna - 2017 - In Jonathan Jenkins Ichikawa (ed.), Routledge Handbook of Epistemic Contextualism. Routledge. pp. 321-331.
    Contextualism is the view that knowledge ascriptions – utterances of sentences containing the word “knows” - express different propositions in different contexts of utterance. But what features of context determine the propositions expressed by knowledge ascriptions? According to a version of contextualism I call conversational contextualism, the conversational dynamics or kinematics determine the propositions expressed by knowledge ascriptions. In this paper I argue that the most sophisticated version of conversational contextualism, which is the view defended by Michael Blome-Tillmann (2009; 2014), (...)
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  18. Fitness “kinematics”: biological function, altruism, and organism–environment development.Marshall Abrams - 2009 - Biology and Philosophy 24 (4):487-504.
    It’s recently been argued that biological fitness can’t change over the course of an organism’s life as a result of organisms’ behaviors. However, some characterizations of biological function and biological altruism tacitly or explicitly assume that an effect of a trait can change an organism’s fitness. In the first part of the paper, I explain that the core idea of changing fitness can be understood in terms of conditional probabilities defined over sequences of events in an organism’s life. The result (...)
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  19.  27
    Parameterizing mental model ascription across intelligent agents.Marjorie McShane - 2014 - Interaction Studies 15 (3):404-425.
    Mental model ascription – also called mindreading – is the process of inferring the mental states of others, which happens as a matter of course in social interactions. But although ubiquitous, mindreading is presumably a highly variable process: people mindread to different extents and with _different results._ We hypothesize that human mindreading ability relies on a large number of personal and contextual features: the inherent abilities of specific individuals, their current physical and mental states, their knowledge of the domain of (...)
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  20.  52
    Probability Kinematics and Probability Dynamics.Lydia McGrew - 2010 - Journal of Philosophical Research 35:89-105.
    Richard Jeffrey developed the formula for probability kinematics with the intent that it would show that strong foundations are epistemologically unnecessary. But the reasons that support strong foundationalism are considerations of dynamics rather than kinematics. The strong foundationalist is concerned with the origin of epistemic force; showing how epistemic force is propagated therefore cannot undermine his position. The weakness of personalism is evident in the difficulty the personalist has in giving a principled answer to the question of when the conditions (...)
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  21.  34
    Probability Kinematics and Probability Dynamics.Lydia McGrew - 2010 - Journal of Philosophical Research 35:89-105.
    Richard Jeffrey developed the formula for probability kinematics with the intent that it would show that strong foundations are epistemologically unnecessary. But the reasons that support strong foundationalism are considerations of dynamics rather than kinematics. The strong foundationalist is concerned with the origin of epistemic force; showing how epistemic force is propagated therefore cannot undermine his position. The weakness of personalism is evident in the difficulty the personalist has in giving a principled answer to the question of when the conditions (...)
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  22.  20
    Parameterizing mental model ascription across intelligent agents.Marjorie McShane - 2014 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 15 (3):404-425.
    Mental model ascription – also called mindreading – is the process of inferring the mental states of others, which happens as a matter of course in social interactions. But although ubiquitous, mindreading is presumably a highly variable process: people mindread to different extents and with different results. We hypothesize that human mindreading ability relies on a large number of personal and contextual features: the inherent abilities of specific individuals, their current physical and mental states, their knowledge of the domain of (...)
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  23.  8
    Sparse parameterized problems.Marco Cesati & Michael R. Fellows - 1996 - Annals of Pure and Applied Logic 82 (1):1-15.
    Sparse languages play an important role in classical structural complexity theory. In this paper we introduce a natural definition of sparse problems for parameterized complexity theory. We prove an analog of Mahaney's theorem: there is no sparse parameterized problem which is hard for the tth level of the W hierarchy, unless the W hierarchy itself collapses up to level t. The main result is proved for the most general form of parametric many:1 reducibility, where the parameter functions are not assumed (...)
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  24.  59
    Kinematical Reduction of Spatial Degrees of Freedom and Holographic Relation in Yang’s Quantized Space-Time Algebra.Sho Tanaka - 2009 - Foundations of Physics 39 (5):510-518.
    We try to find a possible origin of the holographic principle in the Lorentz-covariant Yang’s quantized space-time algebra (YSTA). YSTA, which is intrinsically equipped with short- and long-scale parameters, λ and R, gives a finite number of spatial degrees of freedom for any bounded spatial region, providing a basis for divergence-free quantum field theory. Furthermore, it gives a definite kinematical reduction of spatial degrees of freedom, compared with the ordinary lattice space. On account of the latter fact, we find a (...)
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  25.  11
    Restricted Kinematics in Children With Autism in the Execution of Complex Oscillatory Arm Movements.Zhong Zhao, Xiaobin Zhang, Haiming Tang, Xinyao Hu, Xingda Qu, Jianping Lu & Qiongling Peng - 2021 - Frontiers in Human Neuroscience 15.
    Restricted and repetitive behavior is a core symptom of autism spectrum disorder characterized by features of restrictedness, repetition, rigidity, and invariance. Few studies have investigated how restrictedness is manifested in motor behavior. This study aimed to address this question by instructing participants to perform the utmost complex movement. Twenty children with ASD and 23 children with typical development performed one-dimensional, left-right arm oscillations by demonstrating varying amplitudes and frequencies. The entropy of amplitude and velocity was calculated as an index of (...)
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  26.  35
    Is kinematic geometry an internalized regularity?Dejan Todorovič - 2001 - Behavioral and Brain Sciences 24 (4):641-651.
    A general framework for the explanation of perceptual phenomena as internalizations of external regularities was developed by R. N. Shepard. A particular example of this framework is his account of perceived curvilinear apparent motions. This paper contains a brief summary of the relevant psychophysical data, some basic kinematical considerations and examples, and several criticisms of Shepard's account. The criticisms concern the feasibility of internalization of critical motion types, the roles of simplicity and uniqueness, the contrast between classical physics and (...) geometry, the import of perceived path curvilinearity, and the relation of perceptual and scientific knowledge. Key Words: internalization of regularities; kinematic geometry; simplicity. (shrink)
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  27.  8
    Movement Kinematics and Interjoint Coordination Are Influenced by Target Location and Arm in 6-Year-Old Children.Leia B. Bagesteiro, Rogerio B. Balthazar & Charmayne M. L. Hughes - 2020 - Frontiers in Human Neuroscience 14.
  28.  23
    Mental kinematics: dynamics and mechanics of neurocognitive systems.David L. Barack - 2020 - Synthese 199 (1-2):1091-1123.
    Dynamical systems play a central role in explanations in cognitive neuroscience. The grounds for these explanations are hotly debated and generally fall under two approaches: non-mechanistic and mechanistic. In this paper, I first outline a neurodynamical explanatory schema that highlights the role of dynamical systems in cognitive phenomena. I next explore the mechanistic status of such neurodynamical explanations. I argue that these explanations satisfy only some of the constraints on mechanistic explanation and should be considered pseudomechanistic explanations. I defend this (...)
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  29. Cartesianism and the Kinematics of Mechanisms: Or, How to find Fixed Reference Frames in a Cartesian Space-time.Edward Slowik - 1998 - Noûs 32 (3):364-385.
    In De gravitatione, Newton contends that Descartes' physics is fundamentally untenable since the "fixed" spatial landmarks required to ground the concept of inertial motion cannot be secured in the constantly changing Cartesian plenum. Likewise, it is has often been alleged that the collision rules in Descartes' Principles of Philosophy undermine the "relational" view of space and motion advanced in this text. This paper attempts to meet these challenges by investigating the theory of connected gears (or "kinematics of mechanisms") for a (...)
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  30.  89
    Probability kinematics and representation of belief change.Zoltan Domotor - 1980 - Philosophy of Science 47 (3):384-403.
    Bayesian, Jeffrey and Field conditionals are compared and it is shown why the last two cannot be reduced to the first. Maximum relative entropy is used in two kinds of justification of the Field conditional and the dispensability of entropy principles in general is discussed.
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  31.  21
    The kinematics that you do not expect: Integrating prior information and kinematics to understand intentions.Atesh Koul, Marco Soriano, Barbara Tversky, Cristina Becchio & Andrea Cavallo - 2019 - Cognition 182 (C):213-219.
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  32.  34
    Descartes' kinematics.Gary Banham - 2009 - Parallax 51:69-82.
    Full-text of this article is not available in this e-prints service. This article was originally published following peer-review in Parallax, published by and copyright Routledge.
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  33.  24
    A kinematic approach to the conceptual representations of this and that.Claudia Bonfiglioli, Chiara Finocchiaro, Benno Gesierich, Francesco Rositani & Massimo Vescovi - 2009 - Cognition 111 (2):270-274.
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  34.  14
    Inverse kinematic problem: Solutions by pseudoinversion, inversion and no-inversion.Simon R. Goodman - 1995 - Behavioral and Brain Sciences 18 (4):756-758.
    Kinematic properties of reaching movements reflect constraints imposed on the joint angles. Contemporary models present solutions to the redundancy problem by a pseudoinverse procedure (Whitney 1969) or without any inversion (Berkenblit et al. 1986). Feldman & Levin suggest a procedure based on a regular inversion. These procedures are considered as an outcome of a more general approach.
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  35.  6
    Computational kinematics.Leo Joskowicz & Elisha P. Sacks - 1991 - Artificial Intelligence 51 (1-3):381-416.
  36. Probability kinematics.Isaac Levi - 1967 - British Journal for the Philosophy of Science 18 (3):197-209.
  37.  10
    Topological kinematic constraints: dislocations and the glide principle.V. Cvetkovic, Z. Nussinov & J. Zaanen - 2006 - Philosophical Magazine 86 (20):2995-3020.
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  38.  14
    Kinematic theory: From numerical fitting to data interpretation.Michel Desmurget, Claude Prablanc & Yves Rossetti - 1997 - Behavioral and Brain Sciences 20 (2):307-308.
    Plamondon's kinematic theory is very powerful from a descriptive point of view. Unfortunately, the fact that it neglects some fundamental features of the motor system, such as nonlinear inertial torque interactions or joint redundancies, limits its explanatory power and biological validity. As a consequence, the data presented by Plamondon & Alimi should be analyzed and interpreted with caution. There appears to be a gap between the observations reported by the authors and some of the conclusions they draw.
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  39.  19
    Kinematical and gravitational analysis of the rocket-borne clock experiment by Vessot and Levine using the revised Robertson's test theory of special relativity.José G. Vargas - 1986 - Foundations of Physics 16 (10):1003-1020.
    The kinematic aspects of the rocket-borne clock experiment by Vessot and Levine are analyzed with the revised Robertson's test theory of special relativity (Found. Phys. 14, 625 (1984)). Besides the expected time-dilation, it is found that the intermediate steps of this experiment yield in principle Michelson-Morley type information (a relation between longitudinal and transverse length contractions) in the third order of the velocities involved, but no relativity-of-simultaneity related effects.The flat space-time test theory induces a family of “spherically symmetric” line (...)
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  40.  22
    Oral kinematics: examining the role of edibility and valence in the in-out effect.Sandra Godinho, Margarida V. Garrido, Michael Zürn & Sascha Topolinski - 2018 - Cognition and Emotion 33 (5):1094-1098.
    ABSTRACTPrevious research has revealed a stable preference for words with inward consonantal-articulation patterns, over outward-words. Following the oral approach-avoidance account suggesting that the in–out effect is due to the resemblance between consonantal-articulations patterns and ingestion/expectoration, recent findings have shown that when judging inward-outward names for objects with particular oral functions, valence did not modulate the effect while the oral function did. To replicate and examine further the role of edibility and valence in shaping the in–out effect, we asked participants to (...)
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  41.  54
    Preference kinematics.Richard Bradley - 2008 - In Till Grune (ed.), Preference Change: Approaches from Philosophy, Economics and Psychology.
  42.  56
    A parameterization of RNA sequence space.Erik Schultes, Peter T. Hraber & Thomas H. LaBean - 1999 - Complexity 4 (4):61-71.
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  43.  53
    Voigt kinematics and electrodynamic consequences.Albert G. Gluckman - 1976 - Foundations of Physics 6 (3):305-316.
    It has been established that the kinematics of the Voigt transformation, which lacks group structure, is different from that of the Lorentz transformation, and that the apparent kinematic asymmetry of the Voigt coordinate transformations may be understood as a conformally symmetric kinematics. Phenomena such as the kinetic energy of a moving body and the Doppler effect are not quite the same under the conformal Voigt transformation as they are for the usual theory developed with respect to the Lorentz group. (...)
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  44.  9
    Kinematic models cannot provide insight into motor control.Arnold B. Mitnitski - 1997 - Behavioral and Brain Sciences 20 (2):318-319.
    In Plamondon & Alimi's target article, a bell-shaped velocity profile typically observed in fast movements is used as a basis for the of motor control. In our opinion, kinematics is a necessary but insufficient ground for a theory of motor control. Relationships between different kinematic characteristics are an emergent property of the system dynamics controlled by the brain in a specific way. In particular, bell-shaped velocity profiles with or without additional waves are a trivial consequence of shifts in the (...)
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  45.  24
    Kinematic invariances and body schema.Pietro Morasso & Vittorio Sanguineti - 1995 - Behavioral and Brain Sciences 18 (4):769-770.
    Generalizing the notion that muscles are positional frames of reference, a high-dimensional muscle space is defined for multi-muscle systems with an embedded low-dimensional motor manifold of functional articulators. A central representation of such a manifold is proposed as computational body schema. The example of the jaw-tongue system is presented, discussing the relation of functional articulators with kinematic invariances and control problems.
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  46.  17
    A kinematic study on (un)intentional imitation in bottlenose dolphins.Luisa Sartori, Maria Bulgheroni, Raffaella Tizzi & Umberto Castiello - 2015 - Frontiers in Human Neuroscience 9:144694.
    The aim of the present study was to investigate the effect of observing other’s movements on subsequent performance in bottlenose dolphins. The imitative ability of non-human animals has intrigued a number of researchers. So far, however, studies in dolphins have been confined to intentional imitation concerned with the explicit request to imitate other agents. In the absence of instruction to imitate, do dolphins (un)intentionally replicate other’s movement features? To test this, dolphins were filmed while reaching and touching a stimulus before (...)
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  47. Parameterized.R. G. Downey & M. R. Fellows - forthcoming - Complexity.
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  48.  16
    Kinematic Analysis of Pianists' Expressive Performances of Romantic Excerpts: Applications for Enhanced Pedagogical Approaches.Catherine Massie-Laberge, Isabelle Cossette & Marcelo M. Wanderley - 2019 - Frontiers in Psychology 9.
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  49.  7
    Qualitative kinematics in mechanisms.Boi Faltings - 1990 - Artificial Intelligence 44 (1-2):89-119.
  50.  8
    The kinematic theory: A new window to study and analyze simple and complex human movements.Réjean Plamondon - 1997 - Behavioral and Brain Sciences 20 (2):325-343.
    To cover as much as possible the various questions raised by the commentators, I have divided my Response into three major sections. In section R1, I reply to the major comments and remarks dealing with the basic hypothesis upon which the kinematic theory is built (Plamondon 1993b; 1993c; 1995a; 1995b). I focus on linearity, determinism, kinematics, and the biological significance of the model parameters. I conclude this section by showing how, from a practical point of view, the delta-lognormal law (...)
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