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跨学科视角下的认知建模研究现状、动向和思考 被引量:1

Cognitive Modeling Based on Interdisciplinary Perspective:Research status, Trends and Thoughts
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摘要 从不同学科视角概述认知建模研究的现状和动向,阐明不同学科自身优势导致建模范式之间的差异,但它们的共同点是以解决"智能"问题为目标。通过对经典认知建模范式的介绍,阐释理解人类认知无法依赖某项单一研究范式,必须是各种范式的渗透与整合。基于对国内外认知建模研究的综合思考,文章针对性分析了我国认知建模研究中存在的主要问题。 The paper summarizes cognitive modeling (CM) research status and some new trends. Based on interdisciplinary perspective, it expounds their strengths in different disciplines leading to differences in CM paradigms and their common goal is to solve the same problem--- intelligent. Furthermore, it elaborates that it cannot merely rely on one single paradigm and must compound and integrate variety of them to understand human mind by category description classic CM paradigms. Finally, it discusses the main problems of CM in China according to the comprehensive analysis of the domestic and foreign studies on CM.
出处 《浙江海洋学院学报(人文科学版)》 2015年第3期86-91,共6页 Journal of Zhejiang Ocean University(Humane Science)
关键词 认知建模 认知科学 认知模型 建模范式 cognitive modeling (CM) cognitive science cognitive model modeling paradigm
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  • 1Eby D W, Molnar L J,Shope J T,et al.Improving older driver knowledge and. self-awareness through self-assessment: The driving decisions workbook[J].Journal of safety research, 2003,34(4):371-381.
  • 2Konar A, Jain L C.The Psychological Basis of Cognitive Modeling[M]//Cognitive Engineering: A Distributed Approach to Machine Intelligence.Lonton : Springer Lonton Ltd, 2005:1-38.
  • 3Gentner D.Psychology in cognitive science:1978 - 2038[J].Topics in Cognitive Science, 2010,2(3), 328-344.
  • 4Cassimatis N L.Artificial Intelligence and Cognitive Modeling Have the Same Problem. In Theoretical Foundations of Artificial General Intelligence[M] .Atlantis Press, 2012:11-24.
  • 5c·D·威肯斯.工程心理学与人的作业[M].朱祖祥,译.上海:华东师范大学出版社,2003:1-10.
  • 6Ritte F E, Baxter G D, Jones G, et al.Supporting cognitive models as users[J].ACM Transactions on Computer-Human Interaction (TOC HI), 2000,7(2): 141-173.
  • 7Forstmann B U,Wagenmakers E J, Eiehele T, et al.Reeiproeal relations between cognitive neuroseience and formal eognitive models:opposites attraet?[J].Trends in eognitive sciences.2011,15(6):272-279.
  • 8Andemon J R, Fincham J M, Sehneider D W, et al.Using brain imaging to traek problem solving in a complex state space[J]. NeuroImage, 2012,60(1):633-643.
  • 9MeClelland J L.The place of modeling in eognitive seienee[J].Topies in Cognitive Science, 2009,1(1):11-38.
  • 10Farkas I.Indispensability of computational modeling in cognitive scienee[J].Journal of Cognitive Seience,2012, 13(12):401-435.

二级参考文献35

  • 1Ahlstrom, U. , Friedman-berg, F. (2006). Using eye movement activity as a correlate of cognitive workload. International Journal of Industrial Ergonomics, 36,623 - 636.
  • 2Brunken, R. , Plass, J. , Leutner, D. (2003). Direct measurement of cognitive load in multimedia learning. Educational Psychologist, 38,53 - 61.
  • 3Bmnken, R. , Steinbacher, S. , Plass, J. (2002). Assessment of cognitive load in multimedia learning using dual-task methodology. Experimental Psychology ,49 ( 1 ) , 109 -297.
  • 4Chen, C. T. (2006). Cognitive processing during web search : the role of working memory load in selective attention and inhibitory control, unpublished Doctorial Dissertation, Indiana University.
  • 5Chris, B. , Daniel, L. , Alan, Y. (2007). EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviation, Space, and Environmental Medicine, 78 (5), 231 -244
  • 6Cooper, G. (1990). Cognitive load theory as an aid for instructional design. Australian Journal of Educational Technology,6 (1), 108 -113.
  • 7Currie, N. J. (1997). The development of a composite index of mental workload via fuzzy set applications, unpublished Doctorial Dissertation, University of Houston.
  • 8Ding, Y. L., Sheue, L. H. (1999). Use of neural networks to achieve dynamic task allocation: a flexible manufacturing system example. International Journal of Industrial Ergonomics,24 (2),281 - 298.
  • 9Fairclough, S. H., Venables, L., Tattersall, A. (2005). The influence of task demand and learning on the psychophysiological response. International Journal of Psychology, 56,171 - 184.
  • 10Gimino, A. E. (2000). Factors that influence students'investment of mental effort in academic tasks: a validation and exploratory study. unpublished Doctorial Dissertation, University of Southern California.

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