A System-Level Modeling and Design for Cyber-Physical-Social 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
The design of cyber-physical-social systems (CPSS) is a novel and challenging research field due that it emphasizes the deep fusion of cyberspace, physical space, and social space. In this article, we extend our previously proposed system-level design framework [Zeng et al. 2015] to tailor it to the needs of social scenario of multiple users. A hierarchical Petri net-based model and social flow are presented to extend the control flow and formally describe the social interactions of multiple users, respectively. By using the extended model, the system-level optimization for CPSS can be achieved by the improved design flow. Specifically, object emplacement and user satisfaction are further extended into the social environment. Also maximal power estimation algorithm is improved, leveraging the extended intermediate representation model. Finally, we use a smart office case to demonstrate the feasibility and effectiveness of our improved design approach for multiple users.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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