Stimulus set size and statistical coverage of the grammar in artificial grammar learning

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Artificial grammar learning

A grammar is a way of specifying how elements should be ordered. One sort of grammar is a finite state grammar, as illustrated in Figure 1. It contains a finite number of states, represented by circles, connected by arrows showing allowable transitions. A grammatical sequence or ‘string’ can be produced by entering the network and changing states until the network is exited. So, for example, ac...

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People have an impressive capacity for storing information about particular events. This "episodic" memory allows us to recall the context of specific experiences, such as what we did on our last holiday, and is now fairly well understood both psychologically (Tulving, 1983) and at the neural level (McClelland, McNaughton, & O'Reilly, 1995). We also have an ability, however, to acquire knowledg...

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Artificial grammar learning in pigeons.

In two experiments, we developed a new methodology for studying complex stimulus control by spatial sequences of letters generated by artificial grammars. An artificial grammar is a system of rules that defines which letter sequences or strings are "grammatical." In Experiment 1, pigeons learned to respond differently to strings conforming to a grammar versus strings that were nongrammatical di...

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Theories of artificial grammar learning.

Artificial grammar learning (AGL) is one of the most commonly used paradigms for the study of implicit learning and the contrast between rules, similarity, and associative learning. Despite five decades of extensive research, however, a satisfactory theoretical consensus has not been forthcoming. Theoretical accounts of AGL are reviewed, together with relevant human experimental and neuroscienc...

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ژورنال

عنوان ژورنال: Psychonomic Bulletin & Review

سال: 2009

ISSN: 1069-9384,1531-5320

DOI: 10.3758/pbr.16.6.1058