Traditional wisdom meets artificial intelligence

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dc.creatorHaggith, M.
dc.creatorColfer, C.J.P.
dc.date1999
dc.date2012-06-04T09:06:06Z
dc.date2012-06-04T09:06:06Z
dc.date.accessioned2026-06-27T14:13:06Z
dc.descriptionThis 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.
dc.identifierhttps://hdl.handle.net/10568/18109
dc.identifier.urihttp://hdl.handle.net/123456789/77329
dc.languageen
dc.sourceHaggith, M., Colfer, C.J.P. 1999. Traditional wisdom meets artificial intelligence . Agroforestry Forum 9 (3) :24-30.
dc.subjectmodels
dc.subjectcomputer simulation
dc.subjectsimulation models
dc.subjectdecision making
dc.subjectethnic groups
dc.subjectcommunity forestry
dc.subjectrural communities
dc.subjectland use
dc.subjectmultiple use
dc.subjecttropical forests
dc.subjecttraditional society
dc.titleTraditional wisdom meets artificial intelligence
dc.typeJournal Article

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Centro para la Investigación Forestal Internacional (CIFOR)