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Emergent Relationality System/The Insight Engine

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Abstract

The Emergent Relationality System is a work in progress that enfolds multiple research agendas. The system seeks to define a new wholistic approach to CyberArcheology including new forms of multi-modal sensor hardware to work in conjunction with current sensor systems; a new software/search paradigm; and a novel generative virtual environment; to empower the user to bring media materials into “intelligent” proximity/juxtaposition. This system seeks to include the visualization of multiple kinds of sensor data relevant to CyberArcheology as it is brought into dynamic relation with media elements that might not normally exist in the same associational virtual space. Here polysensing systems (parallel multimodal sensing over time) enable the creation of a form of media object that can be given additional meta-data, and can be explored via state of the art search algorithms, new meta mark-up methodologies, and virtual visualization. The system is modular and non-hierarchical and hence a potentially combinatoric modular format is explored in the following text.

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Correspondence to Bill Seaman .

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© 2016 Springer International Publishing Switzerland

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Seaman, B. (2016). Emergent Relationality System/The Insight Engine. In: Forte, M., Campana, S. (eds) Digital Methods and Remote Sensing in Archaeology. Quantitative Methods in the Humanities and Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-40658-9_13

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