Interactive rate acoustical occlusion/diffraction modeling for 2D virtual environments & games
Bibliographic record
Abstract
Despite the importance of acoustical diffraction (the "bending" of sound around an obstacle) in the real-world, diffraction in virtual environments and game worlds is often overlooked. Part of this stems from the fact that modeling occlusion/diffraction effects is a difficult and computationally intensive task. Inspired by our previous work that saw the development of a three-dimensional acoustical occlusion method, here we present a method that approximates acoustical occlusion/diffraction effects for dynamic and interactive two-dimensional virtual environments and games (or three-dimensional environments that can be approximated by a two-dimensional mapping). We also discuss an innovative use for the method allowing it to be incorporated into the artificial intelligence of non-player characters (e.g., enemies), allowing them to "perceive" sounds and therefore behave in a more natural, and realistic manner. Preliminary experimental results demonstrate that the method is capable of operating at interactive rates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".