{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T18:28:28Z","timestamp":1767637708617,"version":"3.48.0"},"reference-count":46,"publisher":"Maximum Academic Press","issue":"1","license":[{"start":{"date-parts":[[2009,7,7]],"date-time":"2009-07-07T00:00:00Z","timestamp":1246924800000},"content-version":"unspecified","delay-in-days":7068,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Knowledge Engineering Review"],"published-print":{"date-parts":[[1990,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This paper explores the implications of research results in behavioural decision theory on knowledge engineering. Behavioural decision theory, with its performance (versus process) orientation, can tell us a great deal about the validity of human expert knowledge, and when it should be modelled. A brief history of behavioural decision theory is provided. Implications for knowledge elicitation and representation are discussed. An approach to knowledge engineering is proposed that takes into account these implications.<\/jats:p>","DOI":"10.1017\/s0269888900005208","type":"journal-article","created":{"date-parts":[[2009,7,7]],"date-time":"2009-07-07T09:35:57Z","timestamp":1246959357000},"page":"5-14","source":"Crossref","is-referenced-by-count":6,"title":["Behavioural decision theory and it's implication for knowledge engineering"],"prefix":"10.48130","volume":"5","author":[{"given":"Paul 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