Titlebook: Serious Games Development and Applications; Second International Minhua Ma,Manuel Fradinho Oliveira,João Madeiras P Conference proceedings

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ernehmerischen Entscheidungsfindung dar, so auch in der Finanzbranche. Die extremen Positionen – Apathie auf der einen und Hysterie auf der anderen Seite – werden veranschaulicht und als Nicht-Optionen deklassiert. Der anzustrebende „Sweet Spot“ wird durch die Betrachtung des aktuellen Stands der Fi

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on of the demonstrated movements and show their transferability without movement refinement. We demonstrate the generality of the approach on a large dataset, consisting of about 700 throwing demonstrations. Nearly all of these human demonstrations are successfully transferred to four different robo

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Michael D. Kickmeier-Rust,Thomas Augustin,Dietrich Albertecessarily difficult problem. However, discarding the numerical runtime information completely seems to be a bad idea, as we hide potentially useful information about the algorithms’ performance margins from the learner. Extensive experimental studies confirm the potential of our hybrid approach, sh

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Mireia Usart,Margarida Romero,Esteve Almirallon tasks. In this paper we investigate how to overcome this: We use inherent features learned by the network to build a global, expressive, verbal explanation of the rationale of a feed-forward convolutional deep neural network (DNN). The semantics of the features are mined by a concept analysis app

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André Cruz,Armando Sousa,António Coelhosabelle/HOL theorem prover, and develop a testing framework to evaluate how well my implementation coheres with expected properties of Kantian ethic. My system is an early step towards philosophically mature ethical AI agents and it can make nuanced judgements in complex ethical dilemmas because it