8,276 research outputs found

    Discovering Evolutionary Stepping Stones through Behavior Domination

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    Behavior domination is proposed as a tool for understanding and harnessing the power of evolutionary systems to discover and exploit useful stepping stones. Novelty search has shown promise in overcoming deception by collecting diverse stepping stones, and several algorithms have been proposed that combine novelty with a more traditional fitness measure to refocus search and help novelty search scale to more complex domains. However, combinations of novelty and fitness do not necessarily preserve the stepping stone discovery that novelty search affords. In several existing methods, competition between solutions can lead to an unintended loss of diversity. Behavior domination defines a class of algorithms that avoid this problem, while inheriting theoretical guarantees from multiobjective optimization. Several existing algorithms are shown to be in this class, and a new algorithm is introduced based on fast non-dominated sorting. Experimental results show that this algorithm outperforms existing approaches in domains that contain useful stepping stones, and its advantage is sustained with scale. The conclusion is that behavior domination can help illuminate the complex dynamics of behavior-driven search, and can thus lead to the design of more scalable and robust algorithms.Comment: To Appear in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017

    Experiences with high definition interactive video conferencing

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    We review the design and implementation of UltraGrid, a new high definition video conferencing system, and present some experimental results. UltraGrid was the first system to support gigabit rate high definition interactive video conferencing on commodity systems and networks, and we present measurements to illustrate behavior of production networks subject to such real time traffic. We illustrate the benefits of hybrid IP/provisioned optical networks over best effort IP networks for this class of traffic, and motivate the development of congestion control algorithms for interactive conferencing on best effort IP networks

    A High-Fidelity Realization of the Euclid Code Comparison NN-body Simulation with Abacus

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    We present a high-fidelity realization of the cosmological NN-body simulation from the Schneider et al. (2016) code comparison project. The simulation was performed with our Abacus NN-body code, which offers high force accuracy, high performance, and minimal particle integration errors. The simulation consists of 204832048^3 particles in a 500 h−1Mpc500\ h^{-1}\mathrm{Mpc} box, for a particle mass of 1.2×109 h−1M⊙1.2\times 10^9\ h^{-1}\mathrm{M}_\odot with $10\ h^{-1}\mathrm{kpc}splinesoftening.Abacusexecuted1052globaltimestepsto spline softening. Abacus executed 1052 global time steps to z=0in107hoursononedual−Xeon,dual−GPUnode,forameanrateof23millionparticlespersecondperstep.WefindAbacusisingoodagreementwithRamsesandPkdgrav3andlesssowithGadget3.Wevalidateourchoiceoftimestepbyhalvingthestepsizeandfindsub−percentdifferencesinthepowerspectrumand2PCFatnearlyallmeasuredscales,with in 107 hours on one dual-Xeon, dual-GPU node, for a mean rate of 23 million particles per second per step. We find Abacus is in good agreement with Ramses and Pkdgrav3 and less so with Gadget3. We validate our choice of time step by halving the step size and find sub-percent differences in the power spectrum and 2PCF at nearly all measured scales, with <0.3\%errorsat errors at k<10\ \mathrm{Mpc}^{-1}h.Onlargescales,Abacusreproduceslineartheorybetterthan. On large scales, Abacus reproduces linear theory better than 0.01\%$. Simulation snapshots are available at http://nbody.rc.fas.harvard.edu/public/S2016 .Comment: 13 pages, 8 figures. Minor changes to match MNRAS accepted versio

    Spotlight on Graphene Research from the Middle East

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    In an extension to the 2011 article “Reviews of Science for Science Librarians: Graphene” (Lehman 2011), this paper seeks to continue exploring the trend of graphene research but limits its focus to the research production of countries in the Middle East. In addition to reporting on the research output of this group of countries, this article will also examine the most prolific Middle Eastern graphene authors,their supporting institutions and funding agencies, the most cited publications from this group, the journals most used for publication of their work, and the general trend in graphene research growth in the Middle East. As with any publication or citation study, there are limits on the data gathered based on the subscriptions available to the author and based on the imperfect nature of database indexing. The author acknowledges these limitations and tries to explain them; she presents the results not so much as exact numbers but as an approximation and an overview of the trends of graphene research in the Middle East

    Assessing statistical significance of periodogram peaks

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    The least-squares (or Lomb-Scargle) periodogram is a powerful tool which is used routinely in many branches of astronomy to search for periodicities in observational data. The problem of assessing statistical significance of candidate periodicities for different periodograms is considered. Based on results in extreme value theory, improved analytic estimations of false alarm probabilities are given. They include an upper limit to the false alarm probability (or a lower limit to the significance). These estimations are tested numerically in order to establish regions of their practical applicability.Comment: 7 pages, 6 figures, 1 table; To be published in MNRA

    Punctuated Equilibrium in Software Evolution

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    The approach based on paradigm of self-organized criticality proposed for experimental investigation and theoretical modelling of software evolution. The dynamics of modifications studied for three free, open source programs Mozilla, Free-BSD and Emacs using the data from version control systems. Scaling laws typical for the self-organization criticality found. The model of software evolution presenting the natural selection principle is proposed. The results of numerical and analytical investigation of the model are presented. They are in a good agreement with the data collected for the real-world software.Comment: 4 pages, LaTeX, 2 Postscript figure

    Intellectual Property Rights as a Trade, Health and Economic Development Issue

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    Profiles in Science: Stephen Hawking

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    While Stephen Hawking’s early academic career lacked focus, the development of motor neuron disease straining against his hopes for a fulfilling life pulled the young scientist’s work together. He has since become the world’s most famous scientist due, in part, to his strong belief that science should be accessible to the general public. Hawking has published frequently for the academic community but has also published for the lay reader. His life has been recorded and examined by several biographers. This paper gives an overview of Hawking’s early life, academic career, his academic and popular publications, as well as a few of the works written about Hawking

    A Critical Survey of Certain Phases of Trial Procedure in Criminal Cases

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    A Critical Survey of Certain Phases of Trial Procedure in Criminal Cases (Continued)

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