Relativistic virtual worlds: an emerging framework
Bradly Alicea

TL;DR
This paper proposes a novel framework for virtual worlds that integrates diverse data sources and physics using relativistic and topological methods, aiming for invariant, adaptable representations.
Contribution
It introduces a new approach combining relativistic and topological techniques to unify multi-scale data and physics in virtual worlds, inspired by neuroscience and cosmology.
Findings
Conceptual framework for relativistic virtual worlds
Illustrative examples of technical challenges
Potential for invariant, adaptable virtual representations
Abstract
In this paper, I will attempt to establish a framework for representation in virtual worlds that may allow for input data from many different scales and virtual physics to be merged. For example, a typical virtual environment must effectively handle user input, sensor data, and virtual world physics all in real- time. Merging all of these data into a single interactive system requires that we adapt approaches from topological methods such as n-dimensional relativistic representation. A number of hypothetical examples will be provided throughout the paper to clarify technical challenges that need to be overcome to realize this vision. The long-term goal of this work is that truly invariant representations will ultimately result from establishing formal, inclusive relationships between these different domains. Using this framework, incomplete information in one or more domains can be…
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Taxonomy
TopicsVirtual Reality Applications and Impacts · Computer Graphics and Visualization Techniques · Human Motion and Animation
