A Distributed Multidisciplinary Design Optimization Framework Based on Web and Agents
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
Web technology is playing an increasingly important role in collaborative product development systems. However, most Web-based applications were developed using client/server architecture for information sharing. This paper presents some results of an on-going research project on developing a distributed multidisciplinary design optimization (MDO) framework based on Web and agents. The primary objective is to develop an architectural framework for implementing MDO environments by integrating intelligent agents and Internet/Web based technologies. The principle is to leverage the right technology for the appropriate purpose. Agent-based negotiation is used for computing resource management or load balancing. Web-based interfaces are developed for users to access the MDO software environment and collaborate with each other. Active Web servers provide a way to integrate legacy systems separated by firewalls. The paper describes the proposed framework; presents a prototype environment for blow molded automotive parts design; and addresses some key issues in system implementation.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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