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

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classical models they inspire are doomed to fail, as are attempts to produce artificial<br />

intelligence in such machines (Churchland & Sejnowski, 1992; Dreyfus, 1972, 1992;<br />

Searle, 1980).<br />

In concert with rejecting the digital computer metaphor, connectionist and<br />

embodied cognitive scientists turn to qualitatively different notions in an attempt<br />

to distinguish their approaches from the classical theories that preceded them.<br />

However, their attempt to define the mark <strong>of</strong> the classical, and to show how this<br />

mark does not apply to their theories, is not always successful.<br />

For example, it was argued in the previous section that when scholars abandoned<br />

the notion <strong>of</strong> centralized control, they were in fact reacting against a concept<br />

that was not a necessary condition <strong>of</strong> classical theory, but was instead an engineering<br />

convenience. Furthermore, mechanisms <strong>of</strong> control in connectionist and embodied<br />

theories were shown not to be radically different from those <strong>of</strong> classical models.<br />

The current section provides another such example.<br />

One <strong>of</strong> the defining characteristics <strong>of</strong> classical theory is serial processing, the<br />

notion that only one operation can be executed at a time. Opponents <strong>of</strong> classical<br />

cognitive science have argued that this means classical models are simply too<br />

slow to be executed by the sluggish hardware that makes up the brain (Feldman &<br />

Ballard, 1982). They suggest that what is instead required is parallel processing,<br />

in which many operations are carried out simultaneously. Below it is argued that<br />

characterizing digital computers or classical theories as being serial in nature is not<br />

completely accurate. Furthermore, characterizing alternative schools <strong>of</strong> thought in<br />

cognitive science as champions <strong>of</strong> parallel processing is also problematic. In short,<br />

the difference between serial and parallel processing may not provide a clear distinction<br />

between different approaches to cognitive science.<br />

It cannot be denied that serial processing has played an important role in the<br />

history <strong>of</strong> modern computing devices. Turing’s (1936) original account <strong>of</strong> computation<br />

was purely serial: a Turing machine processed only a single symbol at a time,<br />

and did so by only executing a single operation at a time. However, the purpose <strong>of</strong><br />

Turing’s proposal was to provide an uncontroversial notion <strong>of</strong> “definite method”;<br />

serial processing made Turing’s notion <strong>of</strong> computation easy to understand, but was<br />

not a necessary characteristic.<br />

A decade later, the pioneering stored program computer EDVAC was also a<br />

serial device in two different ways (Ceruzzi, 1997; von Neumann, 1993). First, it only<br />

executed one command at a time. Second, even though it used 44 bits to represent a<br />

number as a “word,” it processed these words serially, operating on them one bit at<br />

a time. Again, though, this design was motivated by a desire for simplicity—in this<br />

case, simplicity <strong>of</strong> engineering. “The device should be as simple as possible, that is,<br />

contain as few elements as possible. This can be achieved by never performing two<br />

Marks <strong>of</strong> the Classical? 335

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