Artificial Grammar Learning (AGL). First developed by Reber in 1967
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- Training phase: 50% positive 50% negative strings differentiated by the background colour (green and red resp.)
- Test phase: strings on white background
- Training phase: 100% negative strings on random red or green background
Ss in the experimental and control
group are not performing significantly different from each other in both cases
Da(3,7) <-> Ha(7,3)
Fa(4,8) <-> Ka(8,4)
Da(1,5) <-> Ha(5,1)
Ga(2,6) <-> Ja(6,2)
Fa(4,8) <-> Ka(8,4)
Since Pilot 1 proved to be much too complex to learn in 80 trials (NB Pilot1 rules are already much easier than most AGL experiment rules), the subsequent pilots have been severely scaled down. For example, Pilot3:
Easy =The string starts with the syllable Da
Medium = The string contains Da
Hard = The string contains Da or Ha.
However, this easy rule proved to be too easy, while Ss were still not able to learn the medium and hard rules in the given number of trials.
Once we started working with repetitions, the rules became too easy. For example, in Pilot 4.
Easy = The string starts with Da
Medium = The string starts with the same letter as it ends with, e.g. TaJaKaLa-YaPaMaTa
Hard = Both halves of the string start with the same syllable, e.g.
In Pilot4, Ss were learning the rules in the first 10 trials, if not already in the five practice trials!!
However, it is encouraging that the rules have now become too easy rather than too difficult to learn.
Once an easy, medium, and hard grammar has been found, a series of experiments will be conducted with these three grammars. The experiments will invesitgate:
These experiments can then be compared to the results found in standard AGL experiments, and some conclusions may be drawn about the validity of AGL experiments as a means of showing implicit rule learning.