Un jeu sérieux intégrant des développements interdisciplinaires en Psychologie cognitive, mAthématiques appliquées et iNformatique pour favoriser les choix collectifs des agriculteurs

Context and challenges

Reconnection allows crops to be diversified and organic matter to be added, thereby promoting regulating ecosystem services and improving soil fertility (Martin et al., 2016). Various methods for developing reconnection scenarios between breeders and cereal growers have been developed, but few concrete changes are visible (Moojen et al., 2022). The risks involved in working together on both sides – animal production on the one hand, and crop production on the other – are holding back the establishment of real partnerships (see description of these risks in “state of the art”). Given this situation, the members of this project propose to address the following question: What approaches, methods and tools should be developed to help actors in a territory undergoing agro-ecological transition to cooperate as effectively as possible, so that everyone minimizes the risks of working together ?

Goals

To answer this question, the members of the SERIOUS PAN project propose to draw on the field experience acquired by a farmers’ association and on the adaptation of a serious game developed in 2020 by the UMR SADAPT. In this game, called Oviplaine (https://seafile.agroparistech.fr/f/98ffc5590fd9434e9bc6/?dl=1), it is possible to create itineraries for sheep flocks seeking to graze different types of resources in a territory specialized in crop production. This serious game was tested with the Agrivaleur GIEE, but did not result in any concrete changes in practices, as it did not take into account the risks that hold back collective work. However, there was interest in going further, as the game at least initially raised awareness of shared interests. The challenge for this exploratory project is thus to devise a method and tools for developing a new serious game that can integrate different risks.

The aim of the project members is to identify, describe and formalize the cascading risks described by breeders on the one hand, and cereal growers on the other, for the trajectories chosen during the game. Breeders and cereal growers will thus be put in situations through the game in which they can express their field experience.

To formalize this, they will draw on concepts combining mathematics and AI (Artificial Intelligence), informed by a study of cognition, which will provide methodological elements on how to present these risks to best encourage collective choices (for more details, see descriptions in the following chapters).

This program should lay the foundations for a field of study based around the shaping of risk in a serious game that draws on concepts combining mathematics, AI and cognition.

INRAE structures

Non-INRAE partners