803 research outputs found

    Improving games AI performance using grouped hierarchical level of detail

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    Computer games are increasingly making use of large environments; however, these are often only sparsely populated with autonomous agents. This is, in part, due to the computational cost of implementing behaviour functions for large numbers of agents. In this paper we present an optimisation based on level of detail which reduces the overhead of modelling group behaviours, and facilitates the population of an expansive game world. We consider an environment which is inhabited by many distinct groups of agents. Each group itself comprises individual agents, which are organised using a hierarchical tree structure. Expanding and collapsing nodes within each tree allows the efficient dynamic abstraction of individuals, depending on their proximity to the player. Each branching level represents a different level of detail, and the system is designed to trade off computational performance against behavioural fidelity in a way which is both efficient and seamless to the player. We have developed an implementation of this technique, and used it to evaluate the associated performance benefits. Our experiments indicate a significant potential reduction in processing time, with the update for the entire AI system taking less than 1% of the time required for the same number of agents without optimisation

    Thomas De Quincey\u27s Retreat into the Nilotic Mud : Orientalism as a Response to Social Strain

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    The thesis examines Thomas De Quincey’s opium use as a product of social strain. De Quincey’s collection of work provides evidence that he felt alienated from society prior to his addiction and that his feelings of inadequacy contributed to his dependence on drugs. Utilizing Robert K. Merton’s strain theory, this thesis delineates De Quincey’s aspirational references and perceived failures through an examination of his imagery and interprets his perceptions of human life as a catalyst for his compulsions to cope with opium. De Quincey, strained by the aspirations of an industrial and imperialistic society, looked for several avenues of escape. The Romanticism of William Wordsworth presented De Quincey with a method for alleviating social strain; however, when De Quincey failed to discover the transcendence evident in Lyrical Ballads he turned to the intoxicating effects of opium and retreated from English society

    Perspectives on subnational carbon and climate footprints: A case study of Southampton, UK

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    Sub-national governments are increasingly interested in local-level climate change management. Carbon- (CO2 and CH4) and climate-footprints—(Kyoto Basket GHGs) (effectively single impact category LCA metrics, for global warming potential) provide an opportunity to develop models to facilitate effective mitigation. Three approaches are available for the footprinting of sub-national communities. Territorial-based approaches, which focus on production emissions within the geo-political boundaries, are useful for highlighting local emission sources but do not reflect the transboundary nature of sub-national community infrastructures. Transboundary approaches, which extend territorial footprints through the inclusion of key cross boundary flows of materials and energy, are more representative of community structures and processes but there are concerns regarding comparability between studies. The third option, consumption-based, considers global GHG emissions that result from final consumption (households, governments, and investment). Using a case study of Southampton, UK, this chapter develops the data and methods required for a sub-national territorial, transboundary, and consumption-based carbon and climate footprints. The results and implication of each footprinting perspective are discussed in the context of emerging international standards. The study clearly shows that the carbon footprint (CO2 and CH4 only) offers a low-cost, low-data, universal metric of anthropogenic GHG emission and subsequent management

    The Effects of Water Availability on Plant Growth in \u3cem\u3eSesleria Albicans\u3c/em\u3e - Dominated Grasslands in the Burren, Co. Clare

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    The Burren is a karstic region in the west of Ireland characterised by large areas of exposed limestone pavement with sparse vegetation. Despite the prevailing oceanic climate and high rainfall, substrate volumetric water content values are similar to those of semi-arid habitats due to high run-off. As a consequence, plants growing on the pavement regularly experience water deficit during the summer months. S. albicans, a species reported to be tolerant of water deficits, is one of the most abundant species growing on the limestone pavement. The objective of this study was to determine the impact of water availability on the plant performance of a number of species commonly occurring on the limestone pavement

    Sport Discontinuation: An Assessment of Goal Achievement via Empirical Measures

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    Collegiate athletic teams are being eliminated at an alarming rate; however, empirical research of athletic spending and participation after these cuts occur is lacking. This study compared whether the proffered rationales for discontinuing teams were consistent with the measurable budgetary and participation outcomes. From a sample of NCAA Division I institutions that discontinued at least one team between the academic years 2000-01 and 2008-09 (N = 125), a total of 49 schools with documented cut rationales were identified. The EADA cutting tool was then used to examine athletic revenues, expenses, and participation numbers from the year prior and the year after the cuts to determine, via descriptive statistics and paired t-tests, if the stated objectives were met. The three reasons primarily cited for the program elimination included: reducing athletic spending (44.9%), reallocating resources (42.9%), and Title IX compliance (18.4%). Statistical analysis revealed that only institutions citing reallocation of athletic resources were able to achieve their stated goals. Institutions citing efforts to reduce athletic spending had significant increases in athletic expenses and none of the institutions citing Title IX compliance achieved substantial proportionality. These results show a troubling disconnection between the elimination rationale and the budgetary and participation outcomes that is worthy of additional investigation

    Aristotle\u27s Conception of Megalopsychia

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    Constructing the Antichrist as Superstar: Marilyn Manson and the Mechanics of Eschatological Narrative

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    This article examines the moral crusade against Marilyn Manson’s Antichrist Superstar, the various sign-vehicles that contributed to his persona, and the social construction of a folk devil. By fashioning his persona using previous claims concerning Satan’s influence in society—primarily, those employed during the 1980s Satanism scare—Manson ensured that Antichrist Superstar would incite panic as moral crusaders interpreted his pseudo-ostensive actions using collective memories and explanatory millenarianism. He achieved this aim by attacking middle-class Christian ideologies and connecting his persona to previous social problems and cultural scripts to delineate his deviant character. The pseudo-ostensive characteristics of Manson’s stage performances and blasphemous lyrics grant creditability to traditional folk beliefs concerning Satan’s influence in rock music therefore allowing conservative groups to interpret his persona using pre-existing rumours and narratives. By presenting himself as the Antichrist, Manson became a social problem for fundamentalist Christianity: a reiterated moral panic greatly blown out of proportion, and produced using traditional exaggerations and deviant stereotypes in a collective attempt to construct a folk devil. Because Manson’s image and lyrics are meticulously fashioned from various cultural symbols concerning evil and the Antichrist, he encourages his own demonization by enticing his audience to employ explanatory millenarianism and the knowledge of previous cultural scripts to interpret the traditional representations of evil he dangles before them

    Interpreting predictive maps of disease, highlighting the pitfalls of species distribution models in epidemiology

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    This is the authors' PDF version of an article published in Geospatial Health© 2014. The definitive version is available at http://geospatialhealth.netThe application of spatial modelling to epidemiology has increased significantly over the past decade, delivering enhanced understanding of the environmental and climatic factors affecting disease distributions and providing spatially continuous representations of disease risk (predictive maps). These outputs provide significant information for disease control programmes, allowing spatial targeting and tailored interventions. However, several factors (e.g. sampling protocols or temporal disease spread) can influence predictive mapping outputs. This paper proposes a conceptual framework which defines several scenarios and their potential impact on resulting predictive outputs, using simulated data to provide an exemplar. It is vital that researchers recognise these scenarios and their influence on predictive models and their outputs, as a failure to do so may lead to inaccurate interpretation of predictive maps. As long as these considerations are kept in mind, predictive mapping will continue to contribute significantly to epidemiological research and disease control planning.This work was supported by the Medical Research Council (PMA, NAW - projects G0902445 and MR/J012343/1). The funders had no role in the decision to publish or in preparation of the manuscript

    Improving games AI performance using grouped hierarchical level of detail

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    Abstract. Computer games are increasingly making use of large environments; however, these are often only sparsely populated with autonomous agents. This is, in part, due to the computational cost of implementing behaviour functions for large numbers of agents. In this paper we present an optimisation based on level of detail which reduces the overhead of modelling group behaviours, and facilitates the population of an expansive game world. We consider an environment which is inhabited by many distinct groups of agents. Each group itself comprises individual agents, which are organised using a hierarchical tree structure. Expanding and collapsing nodes within each tree allows the efficient dynamic abstraction of individuals, depending on their proximity to the player. Each branching level represents a different level of detail, and the system is designed to trade off computational performance against behavioural fidelity in a way which is both efficient and seamless to the player. We have developed an implementation of this technique, and used it to evaluate the associated performance benefits. Our experiments indicate a significant potential reduction in processing time, with the update for the entire AI system taking less than 1% of the time required for the same number of agents without optimisation
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