215 research outputs found

    Transient spaces

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    Solo exhibition at a university in the United States, funded by Young Harris College

    Courting dissolution: the praxis of adumbrational space

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    The geographer Yi-Fu Tuan denotes the symbiotic relationship of space/place when he explains, what begins as undifferentiated space becomes place as we get to know it better and endow it with value. In the last fifty years, artists developed a discourse of earthworks and site-based arts that have sought to transform landscape. Ultimately, I argue, this transformation of landscape may lead to a spatial disappearance into place, as when Baudrillard warns: By their exceptional faculty for knowledge, human beings, while giving meaning, value, and reality to the world, at the same time begin a process of dissolution ('to analyse' means literally 'to dissolve'). By considering Husserlian strategies of adumbrational theory, this research is an enquiry into the experience of unfamiliar spaces – those ripe with meaning. In order to uncover and produce an imagining of space, this investigation seeks to explore site without colonising, physically altering, or hastening its dissolution. Investigating momentary glimpses into space – this practice facilitates brief experience vis-à-vis journey and imagining the potential shape of site. Through durational praxis, creating video works which combine the documentation of movement through space while re-joining and altering aspects to allow viewers to imagine alternate ways in which to encounter location or indeed how site might be conceived without dissolution

    Remembering Kate Gleason: Introducing a Twentieth-Century Businesswoman to Twenty-First Century Students

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    In the fall of 2015, the faculty of the Museum Studies Program at RIT mounted an exhibition titled Kate Gleason, Visionary: A Tribute on Her 150th Birthday. While Kate Gleason’s name is familiar on the RIT campus because the College of Engineering is named for her, this association obscures recognition of her many and varied accomplishments. The challenge we undertook was to contextualize her work in engineering within her other entrepreneurial endeavors in manufacturing, banking, and building, focusing on the innovation and vision that united them. In addition, we wanted Gleason’s career and accomplishments to be compelling and relevant to our students. To this end we created an exhibition in two different formats: first, a mobile pop-up exhibition that traveled to several venues on campus to encounter students in the course of their daily campus routine and second, a formal gallery exhibition in the campus library. These articles reflect on the process of creating the exhibition’s underlying thesis, bringing the concept to life in two different types of exhibitions, engaging students in the creative process, and reflecting on the exhibition’s impact on its audience

    Enhancing the Behaviorial Fidelity of Synthetic Entities with Human Behavior Models

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    Human-behavior models (HBMs) and artificial intelligence systems are called on to fill a wide variety of roles in military simulations. Each of the off the shelf human behavior models available today focuses on a specific area of human cognition and behavior. While this makes these HBMs very effective in specific roles, none are single-handedly capable of supporting the full range of roles necessary in an urban military scenario involving asymmetric opponents and potentially hostile civilians. The research presented here explores the integration of three separate human behavior models to support three different roles for synthetic participants in a single simulated scenario. The Soar architecture, focusing on knowledge-based, goal-directed behavior, supports a fire team of U.S. Army Rangers. PMFServ, focusing on a physiologically/stress constrained model of decision-making based on emotional utility, supports civilians that may become hostile. Finally, AI.Implant, focusing on individual and crowd navigation, supports a small group of opposing militia. Due to the autonomy and wide range of behavior supported by the three human behavior models, the scenario is more flexible and dynamic than many military simulations and commercial computer games

    Rewarding Coreference Resolvers for Being Consistent with World Knowledge

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    Unresolved coreference is a bottleneck for relation extraction, and high-quality coreference resolvers may produce an output that makes it a lot easier to extract knowledge triples. We show how to improve coreference resolvers by forwarding their input to a relation extraction system and reward the resolvers for producing triples that are found in knowledge bases. Since relation extraction systems can rely on different forms of supervision and be biased in different ways, we obtain the best performance, improving over the state of the art, using multi-task reinforcement learning.Comment: To appear in EMNLP 2019 (with corrected Fig. 2
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