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Book
Let Understanding be the Law
Authors: ---
Year: 1928 Publisher: Eerde, Ommen The Star Publishing Trust

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Book
Human Understanding As Problem.
Authors: ---
ISBN: 3110613387 3110612798 9783110613384 9783110612790 3110611201 9783110611205 Year: 2018 Publisher: Berlin/Boston De Gruyter, Inc.

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Aiming to bridge the gap between analytical and continental philosophy, this peer-reviewed series presents innovative, cutting-edge contributions in contemporary philosophical inquiry, written in English or German. The series is a useful introduction to a variety of topics, aimed at readers interested in the concepts, methods, and historical developments of philosophy.


Book
Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
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ISBN: 1000036064 3731500817 Year: 2013 Publisher: KIT Scientific Publishing

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This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences.


Book
Komunikace v textu a s textem
Author:
ISBN: 807308659X 8073087936 9788073087937 9788073086596 Year: 2016 Publisher: Praha : Filozoficka fakulta Univerzity Karlovy,

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Book
"Pour comprendre les médias", Mac Luhan : analyse critique
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Year: 1972 Publisher: Paris: Hatier,

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Book
Philologische Erkenntnis : Eine Untersuchung zu den begrifflichen Grundlagen der Literaturforschung
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ISBN: 3110625903 3110629267 Year: 2019 Publisher: Berlin ; Boston : De Gruyter,

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Ein beträchtlicher Teil der literaturwissenschaftlichen Theoriebildung geht von der Voraussetzung aus, dass sprachliche Gebilde mehr sind als graphische Muster auf dem Papier. Man nimmt an, dass es zusätzlich zur wahrnehmbaren Gestalt des Zeichens auch noch eine Bedeutung geben müsse, die man zwar nicht mit den äußeren Sinnen, aber doch mit dem Geist erfassen kann. Dass dieses Modell des Verstehens als Bedeutungszuweisung problematisch ist, wurde häufig bemerkt, doch es ist bislang nicht ausreichend geklärt, wie die Literaturwissenschaft den Mythos der Bedeutung und den damit verbundenen Mythos der Innenwelt überwinden und zugleich den Anspruch aufrechterhalten kann, eine empirische Wissenschaft zu sein, die erkennen will, was Zeichen bedeuten, und analysiert, wie Texte beschaffen sind. Die Studie schlägt als Antwort auf diese Herausforderung eine Neufassung von Grundbegriffen wie ,Text', ,Bedeutung', ,Absicht', ,Interpretation', ,Verstehen', ,Würdigung' und ,Einfühlung' vor. Sie skizziert eine verhaltensorientierte Philosophie der Literaturwissenschaft, derzufolge die Forschung den historisch situierten Gebrauch der Wörter untersucht und ihn unter Aufbietung des eigenen Verhaltensrepertoires verlebendigt. Most theories of philological research rely on a seemingly obvious premise: one imagines written signs as graphical patterns associated with meanings; one sees the human mind as the abode of thoughts and intentions. The study shows how this concept systematically misdirects academic thinking and proposes a fundamental conceptual redefinition.


Book
Text relevance and learning from text
Authors: --- ---
ISBN: 1617355313 9781617355318 9781617355301 1617355305 9781617355295 1617355291 Year: 2011 Publisher: Charlotte, NC : Information Age Pub.,

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Book
Making sense : what it means to understand
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ISBN: 1316513335 1009064568 1009075322 1009081098 Year: 2022 Publisher: Cambridge : Cambridge University Press,

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Understanding, as Descartes, Locke and Kant all insisted, is the primary 'faculty' of the mind; yet our modern sciences have been slow to advance a clear and testable account of what it means to understand, of children's acquisition of this concept and, in particular, how children come to ascribe understanding to themselves and others. By drawing together developmental and philosophical theories, this book provides a systematic account of children's concept of understanding and places understanding at the heart of children's 'theory of mind'. Children's subjective awareness of their own minds, of what they think, depends on learning a language for ascribing mental states to themselves and others. This book will appeal to researchers in developmental psychology, cognitive science, education and philosophy who are interested in the cognitive and emotional development of children and in the more basic question of what it means to have a mind.


Book
Self-Organization in the Nervous System
Authors: --- ---
Year: 2017 Publisher: Frontiers Media SA

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This special issue reviews state-of-the-art approaches to the biophysical roots of cognition. These approaches appeal to the notion that cognitive capacities serve to optimize responses to changing external conditions. Crucially, this optimisation rests on the ability to predict changes in the environment, thus allowing organisms to respond pre-emptively to changes before their onset. The biophysical mechanisms that underwrite these cognitive capacities remain largely unknown; although a number of hypotheses has been advanced in systems neuroscience, biophysics and other disciplines. These hypotheses converge on the intersection of thermodynamic and information-theoretic formulations of self-organization in the brain. The latter perspective emerged when Shannon’s theory of message transmission in communication systems was used to characterise message passing between neurons. In its subsequent incarnations, the information theory approach has been integrated into computational neuroscience and the Bayesian brain framework. The thermodynamic formulation rests on a view of the brain as an aggregation of stochastic microprocessors (neurons), with subsequent appeal to the constructs of statistical mechanics and thermodynamics. In particular, the use of ensemble dynamics to elucidate the relationship between micro-scale parameters and those of the macro-scale aggregation (the brain). In general, the thermodynamic approach treats the brain as a dissipative system and seeks to represent the development and functioning of cognitive mechanisms as collective capacities that emerge in the course of self-organization. Its explicanda include energy efficiency; enabling progressively more complex cognitive operations such as long-term prediction and anticipatory planning. A cardinal example of the Bayesian brain approach is the free energy principle that explains self-organizing dynamics in the brain in terms of its predictive capabilities – and selective sampling of sensory inputs that optimise variational free energy as a proxy for Bayesian model evidence. An example of thermodynamically grounded proposals, in this issue, associates self-organization with phase transitions in neuronal state-spaces; resulting in the formation of bounded neuronal assemblies (neuronal packets). This special issue seeks a discourse between thermodynamic and informational formulations of the self-organising and self-evidencing brain. For example, could minimization of thermodynamic free energy during the formation of neuronal packets underlie minimization of variational free energy?


Book
Self-Organization in the Nervous System
Authors: --- ---
Year: 2017 Publisher: Frontiers Media SA

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Abstract

This special issue reviews state-of-the-art approaches to the biophysical roots of cognition. These approaches appeal to the notion that cognitive capacities serve to optimize responses to changing external conditions. Crucially, this optimisation rests on the ability to predict changes in the environment, thus allowing organisms to respond pre-emptively to changes before their onset. The biophysical mechanisms that underwrite these cognitive capacities remain largely unknown; although a number of hypotheses has been advanced in systems neuroscience, biophysics and other disciplines. These hypotheses converge on the intersection of thermodynamic and information-theoretic formulations of self-organization in the brain. The latter perspective emerged when Shannon’s theory of message transmission in communication systems was used to characterise message passing between neurons. In its subsequent incarnations, the information theory approach has been integrated into computational neuroscience and the Bayesian brain framework. The thermodynamic formulation rests on a view of the brain as an aggregation of stochastic microprocessors (neurons), with subsequent appeal to the constructs of statistical mechanics and thermodynamics. In particular, the use of ensemble dynamics to elucidate the relationship between micro-scale parameters and those of the macro-scale aggregation (the brain). In general, the thermodynamic approach treats the brain as a dissipative system and seeks to represent the development and functioning of cognitive mechanisms as collective capacities that emerge in the course of self-organization. Its explicanda include energy efficiency; enabling progressively more complex cognitive operations such as long-term prediction and anticipatory planning. A cardinal example of the Bayesian brain approach is the free energy principle that explains self-organizing dynamics in the brain in terms of its predictive capabilities – and selective sampling of sensory inputs that optimise variational free energy as a proxy for Bayesian model evidence. An example of thermodynamically grounded proposals, in this issue, associates self-organization with phase transitions in neuronal state-spaces; resulting in the formation of bounded neuronal assemblies (neuronal packets). This special issue seeks a discourse between thermodynamic and informational formulations of the self-organising and self-evidencing brain. For example, could minimization of thermodynamic free energy during the formation of neuronal packets underlie minimization of variational free energy?

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