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

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an engineering convenience. Furthermore, central control is easily found in nonclassical<br />

systems such as connectionist networks.<br />

If there is no mark <strong>of</strong> the classical, then this indicates that there are not many<br />

cognitive sciences, but only one. Later chapters support this position by illustrating<br />

theories <strong>of</strong> cognitive science that incorporate elements <strong>of</strong> all three approaches.<br />

7.3 Centralized versus Decentralized Control<br />

Two <strong>of</strong> the key elements <strong>of</strong> a classical theory <strong>of</strong> cognitive science are a set <strong>of</strong> primitive<br />

symbols and a set <strong>of</strong> primitive processes for symbol manipulation. However, these<br />

two necessary components are not by themselves sufficient to completely define a<br />

working classical model. A third element is also required: a mechanism <strong>of</strong> control.<br />

Control is required to determine “what to do next,” to choose which primitive<br />

operation is to be applied at any given moment.<br />

Beyond the capability to execute the basic operations singly, a computing machine<br />

must be able to perform them according to the sequence—or rather, the logical pattern—in<br />

which they generate the solution <strong>of</strong> the mathematical problem that is the<br />

actual purpose <strong>of</strong> the calculation in hand. (von Neumann, 1958, p. 11)<br />

The purpose <strong>of</strong> this section is to explore the notion <strong>of</strong> control from the perspective<br />

<strong>of</strong> the three schools <strong>of</strong> thought in cognitive science. This is done by considering<br />

cognitive control in the context <strong>of</strong> the history <strong>of</strong> the automatic control <strong>of</strong> computing<br />

devices. It is argued that while the different approaches in cognitive science may<br />

claim to have very different accounts <strong>of</strong> cognitive control, there are in fact no qualitative<br />

differences amongst these accounts.<br />

One <strong>of</strong> the earliest examples <strong>of</strong> automatic control was Jacquard’s punched card<br />

mechanism for, in essence, programming a loom to weave a particular pattern into<br />

silk fabric (Essinger, 2004), as discussed in Chapter 3. One punched card controlled<br />

the appearance <strong>of</strong> one thread row in the fabric. Holes punched in the card permitted<br />

rods to move, which raised specified threads to make them visible at this point<br />

in the fabric. The cards that defined a pattern were linked together as a belt that<br />

advanced one card at a time during weaving. A typical pattern to be woven was<br />

defined by around 2,000 to 4,000 different punched cards; very complex patterns<br />

required using many more cards. For instance, Jacquard’s self-portrait in silk was<br />

defined by 24,000 different punched cards.<br />

Jacquard patented his loom in 1804 (Essinger, 2004). By the end <strong>of</strong> the nineteenth<br />

century, punched cards inspired by his invention had a central place in the<br />

processing <strong>of</strong> information. However, their role was to represent this information,<br />

not to control how it was manipulated.<br />

After Herman Hollerith graduated from Columbia School <strong>of</strong> Mines in 1879, he<br />

326 Chapter 7

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