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Training moral sensitivity through video games: a review of suitable game mechanisms

The goal of this study is to support game designers in the selection and implementation of game mechanisms to promote players’ moral sensitivity. A lack of moral sensitivity may lead people to behave unethically, without awareness for their actions’ moral implications. In this study, we conduct a theory-based evaluation of 20 distinct game mechanisms in view of their potential to…

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English / 20/07/2018

Are ratings the worst form of credit assessment apart from all the others?

We present a prediction model to forecast corporate defaults. In a theoretical model, under incomplete information in a market with publicly traded equity, we show that our approach must outperform ratings, Altman’s Z-score, and Merton’s distance to default. We reconcile the statistical and structural approaches under a common framework, i.e., our approach nests Altman’s and Merton’s…

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English / 01/01/2018

Rethinking large-scale economic modeling for efficiency: optimizations for GPU and Xeon Phi clusters

We propose a massively parallelized and optimized framework to solve high-dimensional dynamic stochastic economic models on modern GPU- and MIC-based clusters. First, we introduce a novel approach for adaptive sparse grid index compression alongside a surplus matrix reordering, which significantly reduces the global memory throughput of the compute kernels and maps randomly accessed…

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English / 01/01/2018

Shareholder Risk Measures

The aim of this paper is to put forward a new family of risk measures that as the coherent/convex risk measures impose a preference order on random cash flows and can be interpreted as prices. But at the difference of the axiomatic approach of Artzner, Delbaen, Eber and Heath (1999) and the subsequent extensions of this model, our risk measures are associated with the optimal…

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English / 01/01/2018

The Effect of FRAND Commitments on Patent Remedies

This chapter addresses a special category of cases in which an asserted patent is, or has been declared to be, essential to the implementation of a collaboratively-developed voluntary consensus standard, and the holder of that patent has agreed to license it to implementers of the standard on terms that are fair, reasonable and non-discriminatory (FRAND). In this chapter, we explore…

Institution partenaire

Université de Genève

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English / 01/01/2018

Indoor occupancy sensing with ultrasounds

As human beings, we rely on audible sounds as one way to communicate between each other and to infer information about our surrounding environment. Similarly, ultrasounds are used by some species in the animal kingdom to sense objects around them and get relevant information about their environment. In this thesis, we build on the inherent characteristics of ultrasounds and explore…

Institution partenaire

Université de Genève

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English / 01/01/2018

Fast prototyping and deformation of virtual humans

The creation of virtual representations of real humans is a challenging task that has been investigated for the last three decades. It utilizes a multi-dimensional approach that is used extensively in computer graphics and computer animation applications, and it also involves various fields. This work focuses on facilitating and improving the process of the representation and…

Institution partenaire

Université de Genève

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English / 01/01/2018

Artificial agents as social companions: design guidelines for emotional interactions

Virtual and robotic agents are becoming increasingly prominent, taking on a variety of everyday life roles (i.e., assistants, tutors, coaches, companions). Displaying social and affective behaviour is a necessary requirement when agents need to interact and collaborate with humans. Nevertheless, current agent prototypes lack important skills, such as recognising human emotions,…

Institution partenaire

Université de Genève

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English / 01/01/2018

On the feasibility and privacy benefits of on-device data mining for opportunistic crowd-sensing and service self-provisioning

The average mobile device includes several sensors as a standard feature. Moreover, it roams with its owner, and can be used to collect context information on their behalf. It is often vital to collect data in order to create realistic models that might help us understand and predict the world. However, sharing personal data increases the chance of a user’s privacy being compromised…

Institution partenaire

Université de Genève

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English / 01/01/2018

DelibAnalysis: understanding online deliberation through automated discourse quality analysis and topic modeling

The thesis examines political discourse quality online and proposes a methodology for analyzing online conversations in an automated way. The study builds on Habermas' work by examining the quality of the public sphere in a digital age. Primarily, it examines the portion of the public sphere which deals with political discussions on online platforms. The proposed technique,…

Institution partenaire

Université de Genève

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English / 01/01/2018

Cumulative prospect theory and mean-variance analysis: a rigorous comparison

We propose a numerical optimization approach that can be used to solve portfolio selection problems including several assets and involving objective functions from cumulative prospect theory (CPT). Implementing the suggested algorithm, we compare asset allocations that are derived for CPT based on two different methods: maximizing CPT along the mean–variance efficient frontier so…

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English / 01/12/2017

The Code is the Model

Conventionally, agent-based models are specified in a combination of natural language and mathematical terms, and their implementation seen as an afterthought. I challenge this view and argue that it is the source code that represents the model best, with natural language and mathematical descriptions serving as documentation. This modeling paradigm is inspired by agile software…

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English / 01/12/2017

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