Bibliographic record
Abstract
Considerable research has been done on agent communications, yet in discrete step social agent simulations there is no standardized work done to facilitate cognitive agent-to-agent communication. In this paper we propose an agent-to-agent interaction framework that preserves the integrity of the communication process in an artificial society in a 'time-stepped' discrete event simulator. We introduce the modeling language called Agent Choreography Description Language (ACDL) in order to model the communication. It serves in describing the common and collaborative observable behavior of multiple agents that need to interact in a peer to peer manner to achieve some goal. ACDL further adopts the parallel and interaction activities to model proper communication in an artificial society. The ACDL communication framework is implemented and tested in REPAST. It employs a communication manager to generate and execute ACDL specification according to agent's communication needs. Experiments reveal a successful execution of agent choreography and preservation of the communication logic, indicating a promising approach towards a standardized agent communication framework in discrete models.
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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".