On the Convergence of Analysis and Design Methods for Multi-Agent, Component-Based and Object-Oriented Systems
Bibliographic record
Abstract
The general trend of the information technology evolution towards component-based and software agent-based systems calls for an integration of the analysis and design methods proposed up to now. As a step towards such an integration, we propose changing the paradigm on which analysis and design methods rely, shifting from the individual-centered notion of a “service” to the group-centered notion of a “game”. Instead of designing a system on the basis of the services that each object or component can provide, we propose considering the whole game in which agents, components and users can play various roles in order to perform some common task. We first review the recent evolution of analysis and design methods used to develop object-oriented, component-based, knowledge-based and multiagent systems. We propose an approach to specify the service game of a system based on the use of an extended form of use case maps. We show how this simple technique could help to the convergence of analysis and design methods used to specify systems using object-oriented, component-based, knowledge-based and multiagent approaches.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".