Abstract
In this paper, we focus on how the qualitative vocabulary of Dynalearn, which is used for describing dynamic systems, corresponds to the mathematical equations used in quantitative modeling. Then, we demonstrate the translation of a qualitative model into a quantitative model, using the example of an object falling with air resistance.
| Original language | English |
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| Title of host publication | Proceedings of the QR 2024 37th International Workshop on Qualitative Reasoning |
| Subtitle of host publication | Co-located with the European Conference on Artificial Intelligence (ECAI) |
| Editors | Diedrich Wolter, Zoe Falomir |
| Place of Publication | Santiago de Compostela |
| Pages | 14-22 |
| Publication status | Published - 19 Oct 2024 |
| Event | 37th International Workshop on Qualitative Reasoning - Santiago de Compostella, Spain Duration: 19 Oct 2024 → 19 Oct 2024 https://dwolter.github.io/qr24/ |
Conference
| Conference | 37th International Workshop on Qualitative Reasoning |
|---|---|
| Abbreviated title | QR 2024 |
| Country/Territory | Spain |
| City | Santiago de Compostella |
| Period | 19/10/24 → 19/10/24 |
| Internet address |