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Volumn , Issue , 2005, Pages

Heuristics for ordering cue search in decision making

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL ADVANTAGES; DECISION HEURISTICS; DECISION MECHANISM; DECISION PERFORMANCE; ORDERING MECHANISM; ORDERING RULES; REASONABLE ACCURACY; SEQUENTIAL SEARCH;

EID: 84898990310     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (14)
  • 1
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    • Fishburn, P.C.1
  • 3
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    • Assessing the empirical validity of the take-the-best heuristic as a model of human probabilistic inference
    • Bröder, A. (2000). Assessing the empirical validity of the Take-The-Best heuristic as a model of human probabilistic inference. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26 (5), 1332-1346.
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    • Bröder, A.1
  • 4
    • 0141640999 scopus 로고    scopus 로고
    • Decision making with the adaptive tool box.: Influence of environmental structure, intelligence, and working memory load
    • Bröder, A. (2003). Decision making with the .adaptive tool box.: Influence of environmental structure, intelligence, and working memory load. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 611-625.
    • (2003) Journal of Experimental Psychology: Learning, Memory, & Cognition , vol.29 , pp. 611-625
    • Bröder, A.1
  • 6
    • 0030266119 scopus 로고    scopus 로고
    • Reasoning the fast and frugal way: Models of bounded rationality
    • Gigerenzer, G., & Goldstein, D.G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103 (4), 650-669.
    • (1996) Psychological Review , vol.103 , Issue.4 , pp. 650-669
    • Gigerenzer, G.1    Goldstein, D.G.2
  • 7
    • 0002828478 scopus 로고    scopus 로고
    • Betting on one good reason: The take the best heuristic
    • G. Gigerenzer, P.M. Todd & The ABC Research Group, New York: Oxford University Press
    • Gigerenzer, G., & Goldstein, D.G. (1999). Betting on one good reason: The Take The Best Heuristic. In G. Gigerenzer, P.M. Todd & The ABC Research Group, Simple heuristics that make us smart. New York: Oxford University Press.
    • (1999) Simple Heuristics that Make Us Smart
    • Gigerenzer, G.1    Goldstein, D.G.2
  • 8
    • 0001917223 scopus 로고    scopus 로고
    • How good are simple heuristics?
    • G. Gigerenzer, P.M. Todd & The ABC Research Group, New York: Oxford University Press
    • Czerlinski, J., Gigerenzer, G., & Goldstein, D.G. (1999). How good are simple heuristics? In G. Gigerenzer, P.M. Todd & The ABC Research Group, Simple heuristics that make us smart. New York: Oxford University Press.
    • (1999) Simple Heuristics that Make Us Smart
    • Czerlinski, J.1    Gigerenzer, G.2    Goldstein, D.G.3
  • 10
    • 0036746142 scopus 로고    scopus 로고
    • Probabilities from exemplars (PROBEX): A .lazy. Algorithm for probabilistic inference from generic knowledge
    • Juslin, P., & Persson, M. (2002). PROBabilities from EXemplars (PROBEX): A .lazy. algorithm for probabilistic inference from generic knowledge. Cognitive Science, 26, 563-607.
    • (2002) Cognitive Science , vol.26 , pp. 563-607
    • Juslin, P.1    Persson, M.2
  • 11
    • 0016917230 scopus 로고
    • On self-organizing sequential search heuristics
    • Rivest, R. (1976). On self-organizing sequential search heuristics. Communications of the ACM, 19(2), 63-67.
    • (1976) Communications of the ACM , vol.19 , Issue.2 , pp. 63-67
    • Rivest, R.1
  • 12
    • 0022040473 scopus 로고
    • Amortized analyses of self-organizing sequential search heuristics
    • Bentley, J.L. & McGeoch, C.C. (1985). Amortized analyses of self-organizing sequential search heuristics. Communications of the ACM, 28(4), 404-411.
    • (1985) Communications of the ACM , vol.28 , Issue.4 , pp. 404-411
    • Bentley, J.L.1    McGeoch, C.C.2
  • 13
    • 0021666033 scopus 로고
    • Automatic processing of fundamental information: The case of frequency of occurrence
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    • Hasher, L.1    Zacks, R.T.2
  • 14
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    • The cognitive side of probability learning
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.