An Approach for Integrating 3D Virtual Worlds with Multiagent Systems
Why this work is in the frame
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Bibliographic record
Abstract
Education is incorporating more and more of the capabilities provided by the Internet. One such move is the incorporation of 3D virtual worlds in the learning environment. Another is the increasing development of multiagent systems that support the learner or the tutor. Integrating pedagogically based multiagent systems with 3D virtual worlds could provide a more engaging immersive learning environment. This paper explores the feasibility of integrating a 3D virtual world with a pedagogical multiagent system named QuizMASter, an educational game for elearning that helps students learn their course material through friendly competition. The integration was developed by devising, implementing and testing an approach using open source technologies, namely, Open Wonderland and JADE. The result is encouraging as the integration is technically feasible, not overly difficult and opens a door to further integration opportunities.
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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 | 0.000 | 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 it