A model of probabilistic category learning.
A model of probabilistic category learning.
复制标题
概率类别学习模型。
DOI:
10.1037//0278-7393.25.5.1083
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发表时间:
1999
期刊:
影响因子:
--
通讯作者:
Johansen,MK
中科院分区:
文献类型:
--
作者:
Kruschke,JK;Johansen,MK
A new connectionist model (named RASHNL) accounts for many “irrational” phenomena found in nonmetric multiple-cue probability learning, wherein people learn to utilize a number of discrete-valued cues that are partially valid indicators of categorical outcomes. Phenomena accounted for include cue competition, effects of cue salience, utilization of configural information, decreased learning when information is introduced after a delay, and effects of base rates. Experiments 1 and 2 replicate previous experiments on cue competition and cue salience, and fits of the model provide parameter values for making qualitatively correct predictions for many other situations. The model also makes 2 new predictions, confirmed in Experiments 3 and 4. The model formalizes 3 explanatory principles: rapidly shifting attention with learned shifts, decreasing learning rates, and graded similarity in exemplar representation.
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DOI:
--
发表时间:
1968
期刊:
影响因子:
--
作者:
T. Trabasso;G. Bower;R. Gelman
通讯作者:
R. Gelman
DOI:
10.1016/0030-5073(73)90033-0
发表时间:
1973
期刊:
Organizational Behavior and Human Performance
影响因子:
--
作者:
N. J. Castellan
通讯作者:
N. J. Castellan
DOI:
10.1037//0096-3445.117.1.68
发表时间:
1988-03
期刊:
Journal of experimental psychology. General
影响因子:
--
作者:
Douglas L. Medin;S. Edelson
通讯作者:
Douglas L. Medin;S. Edelson
DOI:
10.1037/0278-7393.21.6.1495
发表时间:
1995
期刊:
Journal of Experimental Psychology: Learning, Memory and Cognition
影响因子:
--
作者:
S. Edgell;Robert M. Roe
通讯作者:
Robert M. Roe
DOI:
10.1016/0030-5073(80)90042-2
发表时间:
1980
期刊:
Organizational Behavior and Human Performance
影响因子:
--
作者:
S. Edgell;Judith E. Hennessey
通讯作者:
Judith E. Hennessey