Toward AI-designed innovation diffusion policies using agent-based simulations and reinforcement learning: The case of digital tool adoption in agriculture

Autor: Meritxell Vinyals, Regis Sabbadin, Stéphane Couture, Loïc Sadou, Rallou Thomopoulos, Kevin Chapuis, Baptiste Lesquoy, Patrick Taillandier

Publikováno v: Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)

In this paper, we tackle innovation diffusion from the perspective of an institution which aims to encourage the adoption of a new product (i.e., an innovation) with mostly social rather than individual benefits. Designing such innovation adoption po

Externí odkaz: https://doaj.org/article/5f110a0a2e414d6ba64e172f781385f9

COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City

Autor: Benoit Gaudou, Nghi Quang Huynh, Damien Philippon, Arthur Brugière, Kevin Chapuis, Patrick Taillandier, Pierre Larmande, Alexis Drogoul

Publikováno v: Frontiers in Public Health, Vol 8 (2020)

Since its emergence in China, the COVID-19 pandemic has spread rapidly around the world. Faced with this unknown disease, public health authorities were forced to experiment, in a short period of time, with various combinations of interventions at di

Externí odkaz: https://doaj.org/article/e64ad59f4b1e4686b6871824f2fe1050

Support Local Empowerment Using Various Modeling Approaches and Model Purposes: A Practical and Theoretical Point of View

Autor: Kevin Chapuis, Marie-Paule Bonnet, Neriane da Hora, Jôine Cariele Evangelista-Vale, Nina Bancel, Gustavo Melo, Christophe Le Page

Publikováno v: Springer Proceedings in Complexity ISBN: 9783030928421
Advances in social simulation: Proceedings of the 16th Social Simulation Conference, 20–24 September 2021

Theoretical trends in agent-based modeling (ABM) draw sharp lines that usually limjt the expressiveness of models to fit their methodological box: KISS puts emphasis on parsimonious and tractable model for systematic simulation analysis, KIDS focuses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf4b2ab9e66e4bb4cca75b32a7f166e7
https://doi.org/10.1007/978-3-030-92843-8_7

Experimenting the Impact of Pedestrianisation on Urban Pollution Using Tangible Agent-Based Simulations: Application to Hoan Kiem District, Hanoi, Vietnam

Autor: Benoit Gaudou, Nguyen-Huu Tri, Arthur Brugière, Nicolas Marilleau, Kevin Chapuis, Minh Duc Pham, Arnaud Grignard, Alexis Drogoul

Publikováno v: Modelling, Simulation and Applications of Complex Systems : CoSMoS 2019, Penang, Malaysia, April 8-11, 2019
Mohd Hafiz Mohd; Md Yushalify Misro; Syakila Ahmad; Doanh Nguyen Ngoc. Modelling, Simulation and Applications of Complex Systems : CoSMoS 2019, Penang, Malaysia, April 8-11, 2019, 359, Springer, Singapore, pp.43-77, 2021, Springer Proceedings in Mathematics & Statistics book series (PROMS), 978-981-16-2628-9. ⟨10.1007/978-981-16-2629-6_4⟩
Springer Proceedings in Mathematics & Statistics ISBN: 9789811626289

International audience; The development of permanent or temporary pedestrian areas, whether for leisure or to decrease air pollution, has become an integral part of urban planning in numerous cities around the world. Hanoi, the capital of Vietnam, be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c85bfe20f43f97642243fdff2e20957
https://hal.archives-ouvertes.fr/hal-03258915

Gen*: An Integrated Tool for Realistic Agent Population Synthesis

Autor: Frédéric Amblard, Samuel Thiriot, Kevin Chapuis, Patrick Taillandier, Benoit Gaudou

Publikováno v: Springer Proceedings in Complexity ISBN: 9783030615024
ESSA

In recent years, the use of agent-based modeling to tackle complex societal issue has led to the massive use of data to better represent the targeted system. A key question in the development of such models is the definition of the initial population

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5dc4d10c943349836936b64bb1cb04f
https://doi.org/10.1007/978-3-030-61503-1_18