3 resultados para cognitive task analysis

em Digital Peer Publishing


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Rezension zu "Recht verstehen. Wie Laien, Juristen und Versicherungsagenten die 'Riester-Rente' interpretieren" von Angelika Becker und Wolfgang Klein; Berlin 2008: Akademie Verlag: "Es gibt in der Literatur keinen Mangel an umfangreichen und generellen Darstellungen zu Sprache und Verstehen, auch nicht auf dem Gebiet des Rechts; dagegen fehlt es an Darlegungen dazu, wie man empirisch den Verstehensprozess untersuchen kann. Diese Lücke füllt das Buch. "

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In this paper, from the perspective of Cognitive Grammar, we consider the question of what kind of verbs can take cognate objects (COs) and what kind of verbs cannot. We investigate the syntactic properties of COs, such as the ability to take modifiers, the passivizability of cognate object constructions (COCs), and the it-pronominalization of COs. It is our contention that a detailed classification of verbs that occur in COCs is required in order to capture the relation between the syntactic properties and the modification of COs. While classifying verbs, we focus on three conceptual factors: the force of energy of the subject, a change of state of the subject, and the objectivity of the cognate noun. The study reveals that these three parameters enable us to capture the difference in the interpretation of COs in relation to modification and syntactic tests.

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PDP++ is a freely available, open source software package designed to support the development, simulation, and analysis of research-grade connectionist models of cognitive processes. It supports most popular parallel distributed processing paradigms and artificial neural network architectures, and it also provides an implementation of the LEABRA computational cognitive neuroscience framework. Models are typically constructed and examined using the PDP++ graphical user interface, but the system may also be extended through the incorporation of user-written C++ code. This article briefly reviews the features of PDP++, focusing on its utility for teaching cognitive modeling concepts and skills to university undergraduate and graduate students. An informal evaluation of the software as a pedagogical tool is provided, based on the author’s classroom experiences at three research universities and several conference-hosted tutorials.