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Volumn , Issue , 2011, Pages 184-189

An Optimal Foraging Model of Human Visual Search

Author keywords

Bayesian modeling; Optimal foraging theory; Visual search

Indexed keywords

BAYESIAN; BAYESIAN MODELLING; FORAGING MODEL; HUMAN VISUAL; LABORATORY EXPERIMENTS; MULTIPLE TARGETS; OPTIMAL FORAGING THEORY; REAL-WORLD; SEARCH STRATEGIES; VISUAL SEARCH;

EID: 84862670224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (14)
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  • 3
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  • 4
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    • Dual-target search for high and low prevalence X-ray threat targets
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    • Godwin, H.1    Menneer, T.2    Cave, K.3    Donnelly, N.4
  • 5
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    • Search for multiple targets: Remember the targets, forget the search
    • Horowitz, T. S., & Wolfe, J. M. (2001). Search for multiple targets: Remember the targets, forget the search. Perception & Psychophysics, 63(2), 272.
    • (2001) Perception & Psychophysics , vol.63 , Issue.2 , pp. 272
    • Horowitz, T. S.1    Wolfe, J. M.2
  • 6
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    • Hutchinson, J. M., Wilke, A., & Todd, P. M. (2008). Patch leaving in humans: can a generalist adapt its rules to dispersal of items across patches? Animal Behaviour, 75(4), 1331–1349.
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  • 7
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    • The prevalence effect is determined by past experience, not future prospects
    • Lau, J. S., & Huang, L. (2010). The prevalence effect is determined by past experience, not future prospects. Vision Research, 50, 1469–1474.
    • (2010) Vision Research , vol.50 , pp. 1469-1474
    • Lau, J. S.1    Huang, L.2
  • 8
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    • Optimal patch use in a stochastic environment
    • McNamara, J. (1982). Optimal patch use in a stochastic environment. Theoretical Population Biology, 21(2), 269–288.
    • (1982) Theoretical Population Biology , vol.21 , Issue.2 , pp. 269-288
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  • 10
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    • The foraging benefits of information and the penalty of ignorance
    • J
    • Olsson, O., & S. Brown, J. (2006). The foraging benefits of information and the penalty of ignorance. Oikos, 112(2), 260–273.
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  • 14
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    • Varying Target Prevalence Reveals Two Dissociable Decision Criteria in Visual Search
    • Wolfe, J. M., & Van Wert, M. J. (2010). Varying Target Prevalence Reveals Two Dissociable Decision Criteria in Visual Search. Current Biology, 20(2), 121–124.
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    • Wolfe, J. M.1    Van Wert, M. J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.