Self-organized acoustic behavior in bats arises from simple rules
Bibliographic record
Abstract
Abstract Although self-organized behavior has been extensively studied in the movement of group-behaving animals, such as fish or birds, far less attention has been paid to vocal behavior in animal groups, especially in mammals. Here, by testing the vocal response of echolocating bats ( Miniopterus fuliginosus ) to the playback of jamming stimuli in the lab, we discovered a mathematical model that can well describe vocal frequency control by bats in response to jamming stimuli mimicking echolocation sounds emitted in a group of bats. We then extended the model to a group of flying bats and observed frequency-adjusting behavior by which the frequency differences for the group increased overall, similar to a previous observation on group-flying bats. Further, we showed the frequency-adjusting behavior led to less potential misdetections by echolocation in a group. Our findings suggest this frequency-adjusting behavior is a self-organized vocal behavior that mitigates conflicts within a group, one achieved via simple behavioral rules, as in other types of collective animal behavior.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".