CIFOR-ICRAF berfokus pada tantangan-tantangan dan peluang lokal dalam memberikan solusi global untuk hutan, bentang alam, masyarakat, dan Bumi kita

Kami menyediakan bukti-bukti serta solusi untuk mentransformasikan bagaimana lahan dimanfaatkan dan makanan diproduksi: melindungi dan memperbaiki ekosistem, merespons iklim global, malnutrisi, keanekaragaman hayati dan krisis disertifikasi. Ringkasnya, kami berupaya untuk mendukung kehidupan yang lebih baik.

CIFOR-ICRAF menerbitkan lebih dari 750 publikasi setiap tahunnya mengenai agroforestri, hutan dan perubahan iklim, restorasi bentang alam, pemenuhan hak-hak, kebijakan hutan dan masih banyak lagi – juga tersedia dalam berbagai bahasa..

CIFOR-ICRAF berfokus pada tantangan-tantangan dan peluang lokal dalam memberikan solusi global untuk hutan, bentang alam, masyarakat, dan Bumi kita

Kami menyediakan bukti-bukti serta solusi untuk mentransformasikan bagaimana lahan dimanfaatkan dan makanan diproduksi: melindungi dan memperbaiki ekosistem, merespons iklim global, malnutrisi, keanekaragaman hayati dan krisis disertifikasi. Ringkasnya, kami berupaya untuk mendukung kehidupan yang lebih baik.

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

Ekspor kutipan

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.
    Tahun publikasi

    1999

    Penulis

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

    Bahasa

    English

    Kata kunci

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

    Geografis

    Indonesia

Publikasi terkait