Conference
Coupling GAMA, R software and the OpenMOLE platform to explore an agent-based model simulating interactions between farms
| العنوان: | Coupling GAMA, R software and the OpenMOLE platform to explore an agent-based model simulating interactions between farms |
|---|---|
| المؤلفون: | Peter, Aurélien, Reuillon, Romain, Grillot, Myriam |
| المساهمون: | AGroécologie, Innovations, teRritoires (AGIR), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole d'Ingénieurs de Purpan (INP - PURPAN), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-École polytechnique (X), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Institut Curie Paris -Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Arnaud Grignard |
| المصدر: | GAMA Days 2024 ; https://hal.science/hal-04887937 ; GAMA Days 2024, Nov 2024, Online, France |
| بيانات النشر: | CCSD |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | agent-based model, crop-livestock interaction, farm network, model exploration, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] |
| جغرافية الموضوع: | Online, France |
| الوصف: | International audience ; Crop-livestock systems at landscape level encompasses interactions between specialized agricultural systems. Materialized by biomass flow between farms, these interactions can increase farm self-sufficiency (SS) and local resource circularity (manure, forage, grain, straw) [2]. However, it remains unclear how these interactions occurs and to which extent the resulting farm network enhances performance and resilience towards external hazards at both farm and landscape levels.To better understand these processes, we built an agent-based model that simulates individual farms able to take independent decisions on interactions through biomass flows while considering social behaviors [1]. We implemented it in the GAMA modeling platform. To efficiently perform model explorations for its parametrization, verification and validation, we coupled GAMA simulations to the R software using the workflow facilities of OpenMOLE (https://openmole.org/).In the ABM, agents are farms (either cereal, livestock or crop-livestock) and the cooperative localized in the Ariège region (France). At each time step (year), farms produce biomass that can be exchanged with other farms, the cooperative or the global market. Exchange decisions are based on a score that considers i) exchange distance, ii) exchangeable biomass quantity iii) trust between farms, which reflects farm exchanging habits and evolves based on past exchange experiences. Farm individual preferences give more or less weight to one or other of these variables.At initialization, we use random farm locations (according to regional farm type distribution) and compute farm distance in order to quicken the scoring process for exchanges at each cycle. Farm distance computation is time-consuming when farm number is high (10 minutes for 300 agents) in GAMA. Thus, we produce the farm localization dataset with GIS and network packages (igraph, sf, sfnetworks) from the R software. GAMA simulation outputs are also analyzed with the R software to compute ... |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| الاتاحة: | https://hal.science/hal-04887937 https://hal.science/hal-04887937v1/document https://hal.science/hal-04887937v1/file/Gama_days_2024_Peter.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.99AB9D3 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |