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Dans leur lutte contre le dogmatisme et le trouble qu'il cause, les sceptiques ont fait du langage un des pièges majeurs dans lequel celui qui cherche à philosopher se précipite inévitablement. Tout en s'inscrivant dans le vocabulaire philosophique traditionnel pour le critiquer et parfois le subvertir, les disciples de Pyrrhon ont usé de stratégies expressives permettant de suspendre la portée référentielle de leur discours, inventant ainsi un « nouveau langage » compatible avec leur suspension absolue du jugement. Parler aux dogmatiques de leur philosophie sans rien asserter pour autant, afin de les conduire à renoncer à l'obsession irritante de la maîtrise discursive, telle est la gageure du scepticisme, rationalisme dont l'exigence est précisément d'éliminer de son propre exercice tout effet passionnel néfaste. En ouvrant le regard de l'individu au-delà des ornières du langage et de l'argumentation, le scepticisme convie à renouer avec l'expérience, à épouser la vie sans qu'aucune médiation intellectuelle ne pervertisse cette immédiateté par l'inquiétude qu'elle finit toujours par entraîner. Explorer le vocabulaire usité par les sceptiques, c'est cheminer avec eux sur cette voie libératrice qui passe par une manipulation distanciée des mots dans le champ philosophique

Skeptics (Greek philosophy) --- Sceptiques (Philosophie grecque) --- Language --- Langage

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Cette édition numérique a été réalisée à partir d'un support physique, parfois ancien, conservé au sein du dépôt légal de la Bibliothèque nationale de France, conformément à la loi n° 2012-287 du 1er mars 2012 relative à l'exploitation des Livres indisponibles du XXe siècle.

Rabelais, François, --- Philosophy.

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Get your workflow up and running with this step-by-step guide authored by an active developer of the OSWorkflow project with real-world examples

Java (Computer program language) --- Internet programming --- Computer programming --- Object-oriented programming languages --- JavaSpaces technology

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The combination of physical sensors and computational models to provide additional information about system states, inputs and/or parameters, in what is known as virtual sensing, is becoming increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors. While, in many cases, control-oriented models, which are generally simple, are the best choice, multibody models, which can be much more detailed, may be better suited to some applications, such as during the design stage of a new product.

Technology: general issues --- Kalman filter --- motion capture --- gait analysis --- inertial sensor --- rail vehicles --- track irregularities --- multibody dynamics --- inertial sensors --- computer vision --- singular configuration --- parallel robot --- motion control --- 3D tracking --- screw theory --- Kalman filtering --- coupled states-inputs estimation --- virtual sensors --- slider-crank mechanism --- virtual sensoring --- physical sensors --- smart/intelligent sensors --- sensor technology and applications --- sensing principles --- signal processing in sensor systems --- symbolic generation --- real-time computation --- human-in-the-loop --- haptic devices --- parameter estimation --- curve fitting method --- hydraulic system --- predictive maintenance --- characteristic curve --- product life cycle --- digital twin --- adaptive Kalman filter --- nonlinear models --- virtual sensing --- multibody based observers --- vehicle dynamics estimation --- sideslip angle estimation --- factor graph --- graphical models --- movable repetitive lander --- fault-tolerant soft-landing --- landing configuration --- stability optimization --- n/a

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The combination of physical sensors and computational models to provide additional information about system states, inputs and/or parameters, in what is known as virtual sensing, is becoming increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors. While, in many cases, control-oriented models, which are generally simple, are the best choice, multibody models, which can be much more detailed, may be better suited to some applications, such as during the design stage of a new product.

Technology: general issues --- Kalman filter --- motion capture --- gait analysis --- inertial sensor --- rail vehicles --- track irregularities --- multibody dynamics --- inertial sensors --- computer vision --- singular configuration --- parallel robot --- motion control --- 3D tracking --- screw theory --- Kalman filtering --- coupled states-inputs estimation --- virtual sensors --- slider-crank mechanism --- virtual sensoring --- physical sensors --- smart/intelligent sensors --- sensor technology and applications --- sensing principles --- signal processing in sensor systems --- symbolic generation --- real-time computation --- human-in-the-loop --- haptic devices --- parameter estimation --- curve fitting method --- hydraulic system --- predictive maintenance --- characteristic curve --- product life cycle --- digital twin --- adaptive Kalman filter --- nonlinear models --- virtual sensing --- multibody based observers --- vehicle dynamics estimation --- sideslip angle estimation --- factor graph --- graphical models --- movable repetitive lander --- fault-tolerant soft-landing --- landing configuration --- stability optimization --- n/a