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Mind, Body, World- Foundations of Cognitive Science, 2013a

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speaker <strong>of</strong> a language has mastered and internalized a generative grammar that<br />

expresses his knowledge <strong>of</strong> his language. (Chomsky, 1965, p. 8)<br />

A sentence’s structural description is represented by using a phrase marker, which is<br />

a hierarchically organized symbol structure that can be created by a recursive set <strong>of</strong><br />

rules called a context-free grammar. In a generative grammar another kind <strong>of</strong> rule,<br />

called a transformation, is used to convert one phrase marker into another.<br />

The recursive grammars that have been developed in linguistics serve two<br />

purposes. First, they formalize key structural aspects <strong>of</strong> human languages, such<br />

as the embedding <strong>of</strong> clauses within sentences. Second, they explain how finite<br />

resources are capable <strong>of</strong> producing an infinite variety <strong>of</strong> potential expressions. This<br />

latter accomplishment represents a modern rebuttal to dualism; we have seen that<br />

Descartes (1996) used the creative aspect <strong>of</strong> language to argue for the separate, nonphysical<br />

existence <strong>of</strong> the mind. For Descartes, machines were not capable <strong>of</strong> generating<br />

language because <strong>of</strong> their finite nature.<br />

Interestingly, a present-day version <strong>of</strong> Descartes’ (1996) analysis <strong>of</strong> the limitations<br />

<strong>of</strong> machines is available. It recognizes that a number <strong>of</strong> different information<br />

processing devices exists that vary in complexity, and it asks which <strong>of</strong> these devices<br />

are capable <strong>of</strong> accommodating modern, recursive grammars. The answer to this<br />

question provides additional evidence against behaviourist or associationist theories<br />

<strong>of</strong> language (Bever, Fodor, & Garrett, 1968).<br />

b<br />

b<br />

b<br />

b<br />

a<br />

b<br />

b<br />

b<br />

b<br />

Write<br />

Read<br />

Instructions<br />

State<br />

State<br />

Symbol<br />

Machine Head<br />

Figure 3-8. How a Turing machine processes its tape.<br />

In Chapter 2, we were introduced to one simple—but very powerful—device, the<br />

Turing machine (Figure 3-8). It consists <strong>of</strong> a machine head that manipulates the<br />

symbols on a ticker tape, where the ticker tape is divided into cells, and each cell<br />

is capable <strong>of</strong> holding only one symbol at a time. The machine head can move back<br />

and forth along the tape, one cell at a time. As it moves it can read the symbol on the<br />

current cell, which can cause the machine head to change its physical state. It is also<br />

capable <strong>of</strong> writing a new symbol on the tape. The behaviour <strong>of</strong> the machine head—its<br />

Elements <strong>of</strong> Classical <strong>Cognitive</strong> <strong>Science</strong> 69

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