artificial grammar learning造句

In artificial grammar learning research there are generally two phases.
Miller's work was seminal to Arthur Reber's work in artificial grammar learning.
The AI programs first adapted to simulate both natural and artificial grammar learning used the following basic structure:
Miller's work was the cornerstone for what is now the most widely studied paradigm of implicit learning : artificial grammar learning.
Reber's initial assumption that artificial grammar learning is therefore implicit is the foundation for much of the more recent grammar learning researches.
It's difficult to find artificial grammar learning in a sentence. 用artificial grammar learning造句挺难的

The topic has been studied in relation to real world systems ( dynamic control systems ), artificial grammar learning and sequence learning most extensively.
In artificial grammar learning studies, the results usually show that the participant is able to separate the strings more accurately than probability would predict.
The three paradigms of implicit learning that have been studied in depth are artificial grammar learning, sequence learning, and dynamic system control . acquisition of invariant characteristics and second language acquisition.
Another follow-up study examined the extent to which the statistical information learned during this type of artificial grammar learning feeds into knowledge that infants may already have about their native language.
The results of the experiment support the dual factor approach to artificial grammar learning in that people use abstract information to learn rules for grammars and use concrete, exemplar-specific memory for chunks.
The tasks include serial reaction time ( SRT ) tasks, artificial grammar learning ( AGL ) tasks, process control ( PC ) tasks, the categorical inference ( CI ) task, the alphabetical arithmetic ( AA ) task, and the Tower of Hanoi ( TOH ) task.