Autonomous Collaboration in the Presence of Degraded Communication
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2021-1267.vid Autonomous collaboration is predicated on the ability to freely communicate between agents. Communication includes sharing information to achieve situation awareness of the environment and any task negotiation protocol, allowing the network community to leverage the information of each individual participant. In practice, the available communication bandwidth between participants is finite and may be further reduced in order to improve the signal-to-noise ratio as the range between participants increases or in the presence of interference. This paper examines the effects of diminishing communication bandwidth on the ability of the network to maintain situation awareness, both for a legacy data sharing strategy and for a stigmergic strategy. Simulation shows an increasing advantage for the stigmergy strategy as the number of tracks simultaneously observed by multiple participants increases, providing a robust strategy for maintaining situation awareness in a sensor network as the communication bandwidth is degraded.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it