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Volumn , Issue , 2015, Pages 172-177

Humans predict liquid dynamics using probabilistic simulation

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING;

EID: 85139487925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (23)
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    • Davis, E.1
  • 6
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    • Analogical representations of naive physics
    • Gardin, F., & Meltzer, B. (1989). Analogical representations of naive physics. Artificial Intelligence, 38(2), 139-159.
    • (1989) Artificial Intelligence , vol.38 , Issue.2 , pp. 139-159
    • Gardin, F.1    Meltzer, B.2
  • 9
    • 2542457496 scopus 로고    scopus 로고
    • Mechanical reasoning by mental simulation
    • Hegarty, M. (2004). Mechanical reasoning by mental simulation. Trends in cognitive sciences, 8(6), 280-285.
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    • Hegarty, M.1
  • 10
    • 65549162242 scopus 로고    scopus 로고
    • Five-month-old infants have different expectations for solids and liquids
    • Hespos, S. J., Ferry, A. L., & Rips, L. J. (2009). Five-month-old infants have different expectations for solids and liquids. Psychological Science, 20(5), 603-611.
    • (2009) Psychological Science , vol.20 , Issue.5 , pp. 603-611
    • Hespos, S. J.1    Ferry, A. L.2    Rips, L. J.3
  • 14
    • 84890369284 scopus 로고    scopus 로고
    • How robust are probabilistic models of higher-level cognition?
    • Marcus, G. F., & Davis, E. (2013). How robust are probabilistic models of higher-level cognition? Psychological science, 24(12), 2351-2360.
    • (2013) Psychological science , vol.24 , Issue.12 , pp. 2351-2360
    • Marcus, G. F.1    Davis, E.2
  • 15
    • 84885341470 scopus 로고    scopus 로고
    • Integrating probabilistic models of perception and interactive neural networks: a historical and tutorial review
    • McClelland, J. L. (2013). Integrating probabilistic models of perception and interactive neural networks: a historical and tutorial review. Frontiers in psychology, 4.
    • (2013) Frontiers in psychology , vol.4
    • McClelland, J. L.1
  • 16
    • 0020686926 scopus 로고
    • Naive physics: the curvilinear impetus principle and its role in interactions with moving objects
    • McCloskey, M., & Kohl, D. (1983). Naive physics: the curvilinear impetus principle and its role in interactions with moving objects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 9(1), 146.
    • (1983) Journal of Experimental Psychology: Learning, Memory, and Cognition , vol.9 , Issue.1 , pp. 146
    • McCloskey, M.1    Kohl, D.2
  • 18
  • 19
    • 84906335854 scopus 로고    scopus 로고
    • Testing bayesian and heuristic predictions of mass judgments of colliding objects
    • Sanborn, A. N. (2014). Testing bayesian and heuristic predictions of mass judgments of colliding objects. Frontiers in psychology, 5.
    • (2014) Frontiers in psychology , vol.5
    • Sanborn, A. N.1
  • 20
    • 84881091351 scopus 로고    scopus 로고
    • Reconciling intuitive physics and newtonian mechanics for colliding objects
    • Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2013). Reconciling intuitive physics and newtonian mechanics for colliding objects. Psychological review, 120(2), 411.
    • (2013) Psychological review , vol.120 , Issue.2 , pp. 411
    • Sanborn, A. N.1    Mansinghka, V. K.2    Griffiths, T. L.3
  • 21
    • 34247539897 scopus 로고    scopus 로고
    • Prediction of external events with our motor system: towards a new framework
    • Schubotz, R. I. (2007). Prediction of external events with our motor system: towards a new framework. Trends in cognitive sciences, 11(5), 211-218.
    • (2007) Trends in cognitive sciences , vol.11 , Issue.5 , pp. 211-218
    • Schubotz, R. I.1
  • 23
    • 84872697772 scopus 로고    scopus 로고
    • Sources of uncertainty in intuitive physics
    • Smith, K. A., & Vul, E. (2013). Sources of uncertainty in intuitive physics. Topics in cognitive science, 5(1), 185-199.
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    • Smith, K. A.1    Vul, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.