The name is absent

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да^, wo÷⅛⅜⅜⅛utM, ∞aa≡te≡^Φ⅛Mgw, w«?
mwm∣w≡o

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½mtm^∣¾^ym.                           m⅛i∏jsm

t^⅛ΛTi⅛⅛Λ^⅛>∣^AΦ≡⅛⅜^o ⅛s⅛≡≡M^W^^⅛₀

>⅜(⅛W:

[1] Reber, A.S. (1993), ImplicU Learning and, Tacit Knowledge-. An Essay on the Cognitive Unconscious, NewYork: OxfonlU-
Diversity Press.

[2] Reber, A.S. (1967), Implicit Learning of Artificial Grammars, Journal of Verbal Learning and Verbal Behavior, 77.

[З] Perruchet, P., Vinter, A., Pacteau, C., & Gallego, J. (2002), The Formation of Structurally Relevant Units in Artificial
Grammar Learning, The Quarterly Journal of Experimental Psychology, 55A (2) .

[4] Knowlton, B. J.& Squire, L. R, (1996) , Artificial Grammar Learning Depends on Implicit Acquisition of Both Abstract and Ex-
emplar-Specific Information, JoumalofExperimaitalPsychology: Learning, Memory, and Cognition, Vol.22, No. 1.

[5] Abrams, M.& Reber, A. S. (1989), Implicit Learning: RobustnessintheFaceqfpsychiatricDisorders, Journal of Psycholin-
guistic Research, 17.

[6] Vokey, J.R.&Brooks, L.R. (1992), The Salience of Item Knowledge in Learning Artificial Grammars, Journal of Experimen-
tal Psychology: Learning, Memory, and Cognition, Vol. 18.

[7] Knowlton, B. J.& Squire, L.R. (1994), ThelnformatwnAcquiredDuringArtificialGrammarLeaming, Journal of Experimen-
tal Psychology: Learning, Memory, and Cognition, Vol.20, No.l.

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