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Volumn , Issue , 2012, Pages 713-718

Superspace extrapolation reveals inductive biases in function learning

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FUNCTIONS;

EID: 85139178135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 2
    • 0002224661 scopus 로고
    • Hypotheses about relations between scaled variables in the learning of probabilistic inference tasks
    • Brehmer, B. (1974). Hypotheses about relations between scaled variables in the learning of probabilistic inference tasks. Organizational Behavior and Human Decision Processes, 11, 1-27.
    • (1974) Organizational Behavior and Human Decision Processes , vol.11 , pp. 1-27
    • Brehmer, B.1
  • 3
    • 84964143529 scopus 로고
    • Cue competition effects: Theoretical implications for adaptive network learning models
    • Busemeyer, J., Myung, I. J., & McDaniel, M. (1993). Cue competition effects: Theoretical implications for adaptive network learning models. Psychological Science, 4(3), 196.
    • (1993) Psychological Science , vol.4 , Issue.3 , pp. 196
    • Busemeyer, J.1    Myung, I. J.2    McDaniel, M.3
  • 6
    • 0031167914 scopus 로고    scopus 로고
    • The structure of perceptual categories
    • Feldman, J. (1997). The structure of perceptual categories. Journal of Mathematical Psychology, 41, 145-170.
    • (1997) Journal of Mathematical Psychology , vol.41 , pp. 145-170
    • Feldman, J.1
  • 8
    • 36849079281 scopus 로고    scopus 로고
    • Information integration in multiple cue judgment: A division of labor hypothesis
    • Juslin, P., Karlsson, L., & Olsson, H. (2008). Information integration in multiple cue judgment: A division of labor hypothesis. Cognition, 106(1), 259–298.
    • (2008) Cognition , vol.106 , Issue.1 , pp. 259-298
    • Juslin, P.1    Karlsson, L.2    Olsson, H.3
  • 9
    • 5644280288 scopus 로고    scopus 로고
    • Population of linear experts: Knowledge partitioning and function learning
    • Kalish, M., Lewandowsky, S., & Kruschke, J. (2004). Population of linear experts: Knowledge partitioning and function learning. Psychological Review, 111, 1072-1099.
    • (2004) Psychological Review , vol.111 , pp. 1072-1099
    • Kalish, M.1    Lewandowsky, S.2    Kruschke, J.3
  • 10
    • 48149085102 scopus 로고    scopus 로고
    • A comparison of models for learning how to dynamically integrate multiple cues in order to forecast continuous criteria
    • Kelley, H., & Busemeyer, J. (2008). A comparison of models for learning how to dynamically integrate multiple cues in order to forecast continuous criteria. Journal of Mathematical Psychology, 52(4), 218–240.
    • (2008) Journal of Mathematical Psychology , vol.52 , Issue.4 , pp. 218-240
    • Kelley, H.1    Busemeyer, J.2
  • 11
    • 0027172403 scopus 로고
    • Induction of combination rules in two-dimensional function learning
    • Koh, K. (1993). Induction of combination rules in two-dimensional function learning. Memory & cognition, 21(5), 573–590.
    • (1993) Memory & cognition , vol.21 , Issue.5 , pp. 573-590
    • Koh, K.1
  • 13
    • 0012336764 scopus 로고
    • Perceptual-cognitive universals as reflections of the world
    • Shepard, R. N. (1994). Perceptual-cognitive universals as reflections of the world. Psychonomic Bulletin and Review, 1, 2-29.
    • (1994) Psychonomic Bulletin and Review , vol.1 , pp. 2-29
    • Shepard, R. N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.