Traditional wisdom meets artificial intelligence

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cg.coverage.countryIndonesia
cg.coverage.iso3166-alpha2ID
cg.coverage.regionSouth-eastern Asia
cg.coverage.subregionKalimantan
cg.identifier.urlhttps://www.cifor-icraf.org/knowledge/publication/612en
cg.journalAgroforestry Forumen
cg.subject.ciforFOREST GOVERNANCE AND COMMUNITY FORESTRYen
dc.contributor.authorHaggith, M.en
dc.contributor.authorColfer, C.J.P.en
dc.date.accessioned2012-06-04T09:06:06Zen
dc.date.available2012-06-04T09:06:06Zen
dc.identifier.urihttps://hdl.handle.net/10568/18109
dc.titleTraditional wisdom meets artificial intelligenceen
dcterms.abstractThis 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.en
dcterms.bibliographicCitationHaggith, M., Colfer, C.J.P. 1999. Traditional wisdom meets artificial intelligence . Agroforestry Forum 9 (3) :24-30.en
dcterms.extentp. 24-30en
dcterms.issued1999
dcterms.languageen
dcterms.subjectmodelsen
dcterms.subjectcomputer simulationen
dcterms.subjectsimulation modelsen
dcterms.subjectdecision makingen
dcterms.subjectethnic groupsen
dcterms.subjectcommunity forestryen
dcterms.subjectrural communitiesen
dcterms.subjectland useen
dcterms.subjectmultiple useen
dcterms.subjecttropical forestsen
dcterms.subjecttraditional societyen
dcterms.typeJournal Article

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