Autonomous Cognitive Robots Need Emotional Modulations: Introducing the eMODUL Model
Why this work is in the frame
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Bibliographic record
Abstract
Emotion is an integral part of cognition. There is significant evidence of mutual, bi-directional influence between cognitive and emotional processes. Also, more and more research works propose an integrative view of emotion and cognition. In this paper, we review a large literature on emotion-cognition interactions in psychology, neuroscience, and computational modeling. Then, we introduce eMODUL, which consolidates this literature into a conceptual model. In particular, this model stresses the importance of emotional modulations and the roles they play with respect to the system autonomy depending on the targeted computational/cognitive processes (e.g., allocation of resources, organization of behavior). To illustrate these aspects and support our theoretical model, we review two robotic experiments where eMODUL is instantiated. The results demonstrate the interest of our approach for the development of interaction/communication and autonomy/adaptation capabilities in cognitive robots. In terms of natural cognition understanding they give additional insights into the emergence of emotion, the construction of multilevel appraisal, and the link between emotion and cognition in task-related emotions.
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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 | 0.001 | 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 | 0.001 |
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