Software integration using a dynamic wrapper agent
Bibliographic record
Abstract
Abstract:- Many application software packages still in use today are legacy systems which were developed decades ago in languages which are now considered obsolete. Yet, with proper maintenance and enhancements, these systems continue to perform their necessary functions effectively. These are not likely to be replaced any time soon, but present a restriction as they provide little interoperability in today’s open environment. The option of replacing these systems to keep pace with ever changing needs is daunting, costly and may even be unnecessary. Instead, incorporating the services of these systems into an open, cooperative, distributed environment will not only extend their life and services but will also make them available to future systems which have not yet been created. Agent technology has been successfully used to provide legacy execution when embedded within the agent context. In order that legacy services become available to an extended clientele in the agent environment, a dynamic service providing connectivity to the legacy system is proposed in this paper. The focus of this solution is a wrapper agent that is able to create dynamic connections to various legacy applications on behalf of client agents as the need arises. It is proposed that the feasibility of the wrapper agent service depends on the agent’s ability to internalize events and respond according to its goals and belief base. Key-Words:- legacy systems, agent technology, back-box modernization, dynamic wrapper agent, interoperability
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".