Intelligence artificielle et signification. À propos des limites et des possibilitées des sciences cognitives
Bibliographic record
Abstract
L'auteur distingue, dans les.travaux sur l'intelligence artifi- cielle, deux approches : l'approche technologique et l'approche cognitiviste. Il montre que les rapprochements faits, dans l'approche cognitiviste, entre l'intelligence humaine et l'intelligence artificielle, ne vont pas de soi, et que les thèses sur l'intelligence artificielle sont largement tributaires de certaines spéculations rationalistes et empi- ristes de la philosophie classique. Il expose la principale difficulté que rencontre alors une compréhension de l'intelligence humaine à partir de l'approche cognitiviste, à savoir la nécessité d'oblitérer la dimension sémantique et de professer un solipsisme radical, et il plaide en faveur d'une compréhension de l'intelligence humaine selon ce qu'elle est dans la culture plutôt que dans les machines.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.003 | 0.009 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".