Benchmarking is an important part of scientific work on solving techniques for KR systems. The implementation of hand-crafted scripts for each benchmark problem is cumbersome and repetitive. While most benchmarks are similar such that the process appears to be largely automatable, there are also differences which inhibit a complete reuse of existing scripts, e.g., different parameters to be mea...

In 2008, the systems and networks research communities find themselves victims of their own successes. This white paper reviews some of the evidence that the two areas are under enormous stress, and suggests that the situation is only going to get worse. Yet there are a number of simple steps we can take to reduce stresses if we start by asking ourselves what motivates the various parties invol...

Generalization is defined training of generative adversarial network (GAN), and it’s shown that generalization is not guaranteed for the popular distances between distributions such as Jensen-Shannon or Wasserstein. In particular, training may appear to be successful and yet the trained distribution may be arbitrarily far from the target distribution in standard metrics. It is shown that genera...

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One of the interesting questions to ask when using a piece of technology for teaching is if one should solely focus on the state of the art as it stands, or if one should encourage thinking outside of the box. While the former certainly is easier to accomplish, and necessary to lay the foundation for getting known to the field, we try to do the latter, too. In the context of gaming, we try to i...

Despite widespread political conspiracy theories about Presidents Barack Obama and George W. Bush, a majority of partisans continue to distance themselves from such beliefs. Even so, the ideological biases that drive conspiratorial thinking may be hard to overcome. In this study, we examine the unintentional endorsement of conspiratorial beliefs as revealed in movement dynamics. We track the cu...

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