A layered architecture for real-time distributed multi-agent systems
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
Real-time computations in open distributed systems have functional as well as coordination requirements. Specifically, distributed agents may require to be coordinated to satisfy real-time and other quality of service (QoS) constraints. However, this coordination is difficult to achieve because of the unpredictability of computational resource availability in an open system.A three-layered architecture for computations in an open distributed multi-agent system is presented, which keeps functional, coordination and resource concerns of an application separate, allowing each to be studied separately. Functional requirements of the computation are pursued by a system of primitive agents called actors. Timing constraints are imposed on these agents through meta-operations carried out by coordinators. Resource encapsulations called cyberorgs are used for creating execution environments for agents and coordinators with predictable availability of resources.Programming constructs are developed for implementing cyber-orgs and coordinators.
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 | 0.001 | 0.133 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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