CIFOR-ICRAF s’attaque aux défis et aux opportunités locales tout en apportant des solutions aux problèmes mondiaux concernant les forêts, les paysages, les populations et la planète.

Nous fournissons des preuves et des solutions concrètes pour transformer l’utilisation des terres et la production alimentaire : conserver et restaurer les écosystèmes, répondre aux crises mondiales du climat, de la malnutrition, de la biodiversité et de la désertification. En bref, nous améliorons la vie des populations.

CIFOR-ICRAF publie chaque année plus de 750 publications sur l’agroforesterie, les forêts et le changement climatique, la restauration des paysages, les droits, la politique forestière et bien d’autres sujets encore, et ce dans plusieurs langues. .

CIFOR-ICRAF s’attaque aux défis et aux opportunités locales tout en apportant des solutions aux problèmes mondiaux concernant les forêts, les paysages, les populations et la planète.

Nous fournissons des preuves et des solutions concrètes pour transformer l’utilisation des terres et la production alimentaire : conserver et restaurer les écosystèmes, répondre aux crises mondiales du climat, de la malnutrition, de la biodiversité et de la désertification. En bref, nous améliorons la vie des populations.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

CIFOR–ICRAF addresses local challenges and opportunities while providing solutions to global problems for forests, landscapes, people and the planet.

We deliver actionable evidence and solutions to transform how land is used and how food is produced: conserving and restoring ecosystems, responding to the global climate, malnutrition, biodiversity and desertification crises. In short, improving people’s lives.

Traditional wisdom meets artificial intelligence

Exporter la citation

This short article describes an unlikely, but fruitful, collaboration between an anthropologist and an Artificial Intelligence researcher, the purpose of which was to build a model of how indigenous Dayak people in Kalimantan decide on their activities in the forest. The approach and the results are described. The simple model developed used relations and logic to capture some of the Dayak decision-making processes. The model used Prolog programming language. In building the model, an exploration was made of how opportunities for giving and receiving favours might form an alternative to conventional methods of modelling choices between actions, such as economic optimization.
    Année de publication

    1999

    Auteurs

    Haggith, M.; Colfer, C.J.P.

    Langue

    English

    Mots clés

    decision making, models, computer simulation, simulation models, decision making, ethnic groups, community forestry, rural communities, land use, multiple use, tropical forests, traditional society

    Géographique

    Indonesia

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