Conception des réseaux par biomimétisme : application au transport des déchets
Bibliographic record
Abstract
Applied to waste fluxes in a Montreal industrial park, this approach is inspired by natural structures: its objective is to identify the network of matter exchanges between the different sources distributed on the territory. Based on the properties of the Physarum Polycephalum mold, the network configuration obtained through laboratory tests is compared to the ones recovered by three mathematical algorithms: one by simulating the organism growth and two by classical models of distance minimisation. The results demonstrate that the exchange network based on natural laws (biomimicry) has characteristics such as mesh creation and spur diversification. These characteristics imply among other things a number of stretches and a network length (likened to investment cost) almost twice as large as classical structures. They also offer a stronger resilience to breaks of exchanges: indeed, more than 50 % of the exchanges are maintained during a series of breaks, compared to less than 20 % for classical configurations. This ability to classify the supply chain between the key players favours the sustainable development of an industrial structure in a territory. Appliqué aux flux de déchets pour un parc industriel à Montréal, la démarche s’inspire des structures naturelles afin d’identifier le réseau des échanges de matières entre les différents gisements répartis sur le territoire. Basée sur les propriétés de la moisissure Physarum Polycephalum, la configuration du réseau résultant des essais en laboratoire est comparée à des configurations obtenues par des algorithmes mathématiques : un par simulation de la croissance de l’organisme et deux par des modèles classiques de minimisation des distances. Les résultats montrent que le réseau d’échanges basé sur les lois naturelles (biomimétisme) a des caractéristiques telles que la création de mailles et une diversification des embranchements. Ces caractéristiques, qui impliquent, en autres, un nombre de tronçons et une longueur de réseau (assimilable à des coûts d’investissements) près de deux fois plus grands par rapport aux structures classiques, offrent un niveau de résilience accru aux ruptures des échanges. Cette capacité de résilience montre que plus de 50 % des échanges sont maintenus lors d’une succession de ruptures comparativement à moins de 20 % pour les configurations classiques. Cette capacité à diversifier les filières d’approvisionnement entre les acteurs favorise ainsi le développement durable d’un tissu industriel structuré au sein d’un territoire.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".