5,704 research outputs found

    Social Memory and Ritualized Practice in Prehispanic Honduras

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    This paper discusses ritualized practices in domestic spaces as signs of an ongoing and dynamic engagement between the people living there and non-human material and incorporeal social actors, using archaeological evidence from the ancient town of Cerro Palenque and related sites in northwestern Honduras occupied from the 7th to 11th centuries. The paper considers the ways that figurines, pottery, and other kinds of material culture were given meaning through their involvement in these ritualized practices, the materiality of the objects themselves, and their association with human bones. These practices are situated in particular spaces and occur at particular points in the life cycle of individuals and the social groups. They leave behind traces that reflect the desire of the participants in these practices to create social memory and to connect to the larger spatiotemporal order structuring their relations with the world around them

    Development and Evolution of Neural Networks in an Artificial Chemistry

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    We present a model of decentralized growth for Artificial Neural Networks (ANNs) inspired by the development and the physiology of real nervous systems. In this model, each individual artificial neuron is an autonomous unit whose behavior is determined only by the genetic information it harbors and local concentrations of substrates modeled by a simple artificial chemistry. Gene expression is manifested as axon and dendrite growth, cell division and differentiation, substrate production and cell stimulation. We demonstrate the model's power with a hand-written genome that leads to the growth of a simple network which performs classical conditioning. To evolve more complex structures, we implemented a platform-independent, asynchronous, distributed Genetic Algorithm (GA) that allows users to participate in evolutionary experiments via the World Wide Web.Comment: 8 pages LaTeX, style file included, 8 embedded postscript figures. To be published in Proc. of 3rd German Workshop on Artificial Life (GWAL

    Pathologies of Neural Models Make Interpretations Difficult

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    One way to interpret neural model predictions is to highlight the most important input features---for example, a heatmap visualization over the words in an input sentence. In existing interpretation methods for NLP, a word's importance is determined by either input perturbation---measuring the decrease in model confidence when that word is removed---or by the gradient with respect to that word. To understand the limitations of these methods, we use input reduction, which iteratively removes the least important word from the input. This exposes pathological behaviors of neural models: the remaining words appear nonsensical to humans and are not the ones determined as important by interpretation methods. As we confirm with human experiments, the reduced examples lack information to support the prediction of any label, but models still make the same predictions with high confidence. To explain these counterintuitive results, we draw connections to adversarial examples and confidence calibration: pathological behaviors reveal difficulties in interpreting neural models trained with maximum likelihood. To mitigate their deficiencies, we fine-tune the models by encouraging high entropy outputs on reduced examples. Fine-tuned models become more interpretable under input reduction without accuracy loss on regular examples.Comment: EMNLP 2018 camera read

    Archaeological Investigations And Historical Survey, Fort WIlkins Historic State Park: Keweenaw County, Michigan

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    Michigan Technological University has been performing archaeological and historical surveys at Fort Wilkins Historic State Park as part of a multi-year contract since 2013 with each year’s work focused on different properties held by the Park. The 2015 field season focused on the 6 acre Copper Harbor Range Lighthouse (20KE33) property immediately west of Fanny Hooe Creek resulting in the identification of eight archaeological features through a combination of pedestrian survey, shovel pit testing, and excavation. Among the features identified are the Astor House (20KE83), an early hotel in the region which was noted in the writings of travelers visiting the region, and outbuildings associated with the Copper Harbor Range Lighthouse. Included within this report is an historical overview of the property, the results of field work, recommendations for further work, and interpretation options for the features located

    Rising to the occasion : a resiliency strategy for Brickell, Miami

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    As a result of climate change, there has been an increase in flooding all over the world, especially in coastal areas. The coastal city of Miami, Florida is about seventeen feet above sea level at its highest point, with much of the city at five feet or less above sea level. This study is focused in the neighborhood of Brickell. The neighborhood is on the coast and thus acts as a barrier between the Atlantic and other neighborhoods in Miami. The neighborhood has also been the center of a lot of recent growth and development and has become a cultural center. Brickell already experiences flooding when there are large storms, which are becoming more frequent. With a two foot sea level rise, which is projected to happen before the year 2060, about half of the Brickell neighborhood will experience 70 days or more of flooding per year. Despite knowing this, the population of the neighborhood is growing, and it has become the most densely populated neighborhood in Miami. This project proposes a harm reduction strategy for those choosing to live in this, and other areas, where there will be inevitable flooding. This project looks at both vernacular and contemporary precedents of stilted buildings to determine the best structure to support high density buildings in this context. The proposal works with Miami-Dade county’s current resiliency strategies to integrate stilted building into the urban fabric. The buildings function as apartments or office space during dry conditions, but are outfitted for emergency situations as well. This proposal is not a solution to flooding, nor is it a plan for living with water. It is a harm reduction strategy

    Using Agile Software Development Practices in a Research Oriented Distributed Simulation

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    Although sometimes controversial, agile methodologies have proven to be a viable choice for some software development projects. Projects suited to agile methodologies are those that involve new technology, have requirements that change rapidly, and are controlled by small, talented teams. Much literature about agile software development leans towards business products and non-government entities. Only a handful of literature resources mention agile software development being used in government contracts and even fewer resources mention research projects. NASA\u27s Airspace and Traffic Operations Simulation (ATOS) is a research oriented simulation that doesn\u27t follow the traditional business project mold. In an effort to gain a better understanding if agile could be used effectively in a NASA contract for a research oriented simulation project, this research looked at what agile practices could be effectively used to help gain simulation reliability while simultaneously allowing routine maintenance, current experiment support, new modeling additions, and comprehensive architectural changes
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