کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4942270 | 1437187 | 2017 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A model of symbolic processing in Raven's progressive matrices
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
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چکیده انگلیسی
Raven's progressive matrices probe the capacity to discover a common rule in a 3 by 3 matrix of stimuli by requiring the correct selection of a probe stimulus for one stimulus location intentionally left blank. This task is purely visual and excludes verbal cues. We propose a model of the performance of this task that classifies a variety of visual stimuli, either as rotated, scaled, or with elements added or subtracted or otherwise altered within each of the 3 by 3 matrix's fields. In our model, Q-learning uses a state space based on the transitions between fields of the 3 by 3 matrix of stimuli. Actions are modeled as alterations of visual stimuli between these matrix's fields. Using Q-learning our model successfully selects the correct probe stimulus from eight choices offered in the task.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biologically Inspired Cognitive Architectures - Volume 21, July 2017, Pages 47-58
Journal: Biologically Inspired Cognitive Architectures - Volume 21, July 2017, Pages 47-58
نویسندگان
Florian Raudies, Michael E. Hasselmo,