Capturing human data in a letter counting task: Accessibility and action-centeredness in representing cognitive skills

Neural Networks

Volumn 22, Issue 1, 2009, Pages 15-29

  Sun, Ron ^a   Zhang, Xi ^b   Mathews, Robert ^c  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b University of Missouri   (United States)

^c LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

Alphabetic arithmetic; Cognitive architecture; Declarative knowledge; Explicit knowledge; Implicit knowledge; Learning; Procedural knowledge; Skill acquisition

Indexed keywords

ALPHABETIC ARITHMETIC; COGNITIVE ARCHITECTURE; DECLARATIVE KNOWLEDGE; EXPLICIT KNOWLEDGE; IMPLICIT KNOWLEDGE; LEARNING; PROCEDURAL KNOWLEDGE; SKILL ACQUISITION;

EDUCATION; KNOWLEDGE ACQUISITION; MERGERS AND ACQUISITIONS;

KNOWLEDGE BASED SYSTEMS;

ARITHMETIC; ARTICLE; COGNITION; HUMAN; INFORMATION PROCESSING; KNOWLEDGE; LEARNING; PRIORITY JOURNAL; SIMULATION; SKILL; TASK PERFORMANCE;

ARTIFICIAL INTELLIGENCE; COGNITION; COMPUTER SIMULATION; HUMANS; KNOWLEDGE; LEARNING; MOTOR SKILLS; NEURAL NETWORKS (COMPUTER);

EID: 58249090213     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2008.08.004     Document Type: Article

References (52)

1. Anderson J.R. The architecture of cognition (1983), Harvard University Press, Cambridge, MA
2. Anderson J.R. Rules of the mind (1993), Lawrence Erlbaum Associates, Hillsdale, NJ
3. Anderson J., and Lebiere C. The atomic components of thought (1998), Lawrence Erlbaum Associates, Mahwah, NJ
4. Bruner J., Goodnow J., and Austin J. A study of thinking (1956), Wiley, New York
5. Busemeyer J., and Myung I. An adaptive approach to human decision making: Learning theory, decision theory, and human performance. Journal of Experimental Psychology: General 121 2 (1992) 177-194
6. Cleeremans, A. (1994). Attention and awareness in sequence learning. In Proc. of cognitive science society annual conference (pp. 330-335)
7. Cleeremans A., and McClelland J. Learning the structure of event sequences. Journal of Experimental Psychology: General 120 (1991) 235-253
8. Destrebecqz A., and Cleeremans A. Can sequence learning be implicit? New evidence with the process dissociation procedure. Psychonomic Bulletin and Review 8 2 (2001) 343-350
9. Dienes Z. Connectionist and memory-array models of artificial grammar learning. Cognitive Science 16 (1992) 41-79
10. Dominowski R. How do people discover concepts?. In: Solso R.L. (Ed). Theories in cognitive psychology: The loyola symposium (1972), L. Erlbaum, Potomac, MD 257-288
11. Erickson M., and Kruschke J. Rules and exemplars in category learning. Journal of Experimental Psychology: General 127 (1998) 107-140
12. Hadley R. The explicit-implicit distinction. Minds and Machines 5 (1995) 219-242
13. Hasher J., and Zacks J. Automatic and effortful processes in memory. Journal of Experimental Psychology: General 108 (1979) 356-358
14. Hunt E., and Lansman M. Unified model of attention and problem solving. Psychological Review 93 4 (1986) 446-461
15. Johnson T. Acquisition and transfer of declarative and procedural knowledge. European conference on cognitive modeling (1998), Nottingham University Press, Nottingham, UK 15-22
16. Karmiloff-Smith A. From meta-processes to conscious access: Evidence from children's metalinguistic and repair data. Cognition 23 (1986) 95-147
17. Kirsh D. When is information explicitly represented. In: Hanson P. (Ed). Information, language, and cognition (1990), University of British Columbia Press, Vancouver, Canada
18. Lane S., Mathews R., Sallas B., Prattini R., and Sun R. Facilitative interactions of model- and experience-based processes: Implications for type and flexibility of representation. Memory and Cognition 36 1 (2008) 157-169
19. Lewicki P., Czyzewska M., and Hoffman H. Unconscious acquisition of complex procedural knowledge. Journal of Experimental Psychology: Learning, Memory and Cognition 13 4 (1987) 523-530
20. Logan G. Toward an instance theory of automatization. Psychological Review 95 4 (1988) 492-527
21. Massaro D. Some criticisms of connectionist models of human performance. Journal of Memory and Language 27 (1988) 213-234
22. Moscovitch M., and Umilta C. Conscious and unconscious aspects of memory. Perspectives on cognitive neuroscience (1991), Oxford University Press, New York
23. Nisbett R., and Wilson T. Telling more than we can know: Verbal reports on mental processes. Psychological Review 84 3 (1977)
24. Nosofsky R., Palmeri T., and McKinley S. Rule-plus-exception model of classification learning. Psychological Review 101 1 (1994) 53-79
25. In: Pew R.W., and Mavor A.S. (Eds). Modeling human and organizational behavior: Application to military simulations (1998), National Academy Press, Washington, DC
26. Proctor R., and Dutta A. Skill acquisition and human performance (1995), Sage Publications, Thousand Oaks, CA
27. Rabinowitz M., and Goldberg N. Evaluating the structure-process hypothesis. In: Weinert F., and Schneider W. (Eds). Memory performance and competencies (1995), Lawrence Erlbaum, Hillsdale, NJ
28. Reber A. Implicit learning and tacit knowledge. Journal of Experimental Psychology: General 118 3 (1989) 219-235
29. Roberts S., and Pashler H. How persuasive is a good fit? A comment on theory testing. Psychological Review 107 2 (2000) 358-367
30. Rumelhart D., McClelland J., and the PDP Research Group. Parallel distributed processing: Explorations in the microstructures of cognition (1986), MIT Press, Cambridge, MA
31. Schacter D. Implicit memory: History and current status. Journal of Experimental Psychology: Learning, Memory, and Cognition 13 (1987) 501-518
32. Schacter D. Toward a cognitive neuropsychology of awareness: Implicit knowledge and anosagnosia. Journal of Clinical and Experimental Neuropsychology 12 1 (1990) 155-178
33. Schneider W., and Oliver W. An instructable connectionist/control architecture. In: VanLehn K. (Ed). Architectures for intelligence (1991), Erlbaum, Hillsdale, NJ
34. Seger C. Implicit learning. Psychological Bulletin 115 2 (1994) 163-196
35. Siegler R., and Stern E. Conscious and unconscious strategy discovery: A microgenetic analysis. Journal of Experimental Psychology: General 27 4 (1998) 377-397
36. Stadler M., and Frensch P. Handbook of implicit learning (1998), Sage Publication, Thousand Oaks, CA
37. Stanley W., Mathews R., Buss R., and Kotler-Cope S. Insight without awareness: On the interaction of verbalization, instruction and practice in a simulated process control task. Quarterly Journal of Experimental Psychology 41A 3 (1989) 553-577
38. Sun R. Robust reasoning: Integrating rule-based and similarity-based reasoning. Artificial Intelligence 75 2 (1995) 241-296
39. Sun R. Accounting for the computational basis of consciousness: A connectionist approach. Consciousness and Cognition 8 (1999) 529-565
40. Sun R. Duality of the mind (2002), Lawrence Erlbaum Associates, Mahwah, NJ
41. Sun, R. (2003). A Tutorial on CLARION. Technical report. Cognitive Science Department, Rensselaer Polytechnic Institute. http://www.cogsci.rpi.edu/~rsun/sun.tutorial.pdf
42. Sun R., Merrill E., and Peterson T. A bottom-up model of skill learning. Proc. of 20th cognitive science society conference (1998), Lawrence Erlbaum Associates, Mahwah, NJ 1037-1042
43. Sun R., Merrill E., and Peterson T. From implicit skills to explicit knowledge: A bottom-up model of skill learning. Cognitive Science 25 2 (2001) 203-244
44. Sun R., Slusarz P., and Terry C. The interaction of the explicit and the implicit in skill learning: A dual-process approach. Psychological Review 112 1 (2005) 159-192
45. Sun R., and Zhang X. Top-down versus bottom-up learning in cognitive skill acquisition. Cognitive Systems Research 5 1 (2004) 63-89
46. Sun R., and Zhang X. Accounting for a variety of reasoning data within a cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence 18 2 (2006) 169-191
47. Sun R., Zhang X., Slusarz P., and Mathews R. The interaction of implicit learning, explicit hypothesis testing learning, and implicit-to-explicit knowledge extraction. Neural Networks 20 1 (2007) 34-47
48. VanLehn K. Cognitive skill acquisition. Annual review of psychology vol. 47 (1995), Annual Reviews Inc, Palo Alto, CA
49. Watkins, C. (1989). Learning with delayed rewards. Ph.D. thesis. Cambridge, UK: Cambridge University
50. Willingham D. A neuropsychological theory of motor skill learning. Psychological Review 105 3 (1998) 558-584
51. Willingham D., Nissen M., and Bullemer P. On the development of procedural knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition 15 (1989) 1047-1060
52. Wisniewski E., and Medin D. On the interaction of data and theory in concept learning. Cognitive Science 18 (1994) 221-281