Agent-Directed Simulation and Nature-Inspired Modeling for Cyber-Physical Systems Engineering
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
The definition of cyber-physical systemsCyber-Physical Systems (CPS) is revised from the point of view of the evolution of physical toolsEvolution of physical tools. The desirable synergies and contributions of the following disciplines are elaborated to tackle the complexity of cyber-physical systemsCyber-Physical Systems (CPS): simulationSimulation, agent-directed simulationAgent-directed simulation, and systems engineeringSystems engineering, including simulation-based cyber-physical systemsCyber-Physical Systems (CPS) engineeringCyber-Physical Systems Engineering. Over 80 types of systems engineeringSystems engineering are also listed. The richness of paradigms offered by nature-inspired modelingNature-inspired modeling and computing are elaborated on and sources of information, as well as over 60 possibilities offered by nature-inspired modeling, for simulation-based cyber-physical systemsCyber-Physical Systems (CPS) engineeringCyber-Physical Systems Engineering are pointed out. Some other important possibilities, such as cloud computation, big data analytics, cyber security, and ethical issues are treated in other chapters of the book and are not elaborated in this chapter.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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