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

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ole at the algorithmic level, for it provides the primitive operations from which<br />

algorithms are created. Thus we would expect that the behavioural vocabulary used<br />

for algorithms to also be applied to the architecture.<br />

The special nature <strong>of</strong> the architecture means that additional behavioural<br />

descriptions are required. A researcher must also collect behavioural evidence to<br />

support his or her claim that some algorithmic component is in fact an architectural<br />

primitive. One example <strong>of</strong> this, which appears when the ideas that we have<br />

been developing in this chapter are applied to the science <strong>of</strong> human cognition, is<br />

to conduct behavioural experiments to determine whether a function is cognitively<br />

impenetrable (Pylyshyn, 1984; Wright & Dawson, 1994). We return to this kind <strong>of</strong><br />

evidence in Chapter 3.<br />

Of course, the fundamental difference between algorithm and architecture is<br />

that only the latter can be described in terms <strong>of</strong> physical properties. Algorithms<br />

are explained in terms <strong>of</strong> the architectural components in which they are written.<br />

Architectural components are explained by describing how they are implemented<br />

by some physical device. At the implementational level a researcher uses a physical<br />

vocabulary to explain how architectural primitives are brought to life.<br />

An implementational account <strong>of</strong> the logic gates illustrated in Figure 2-1 would<br />

explain their function by appealing to the ability <strong>of</strong> metal wires to conduct electricity,<br />

to the nature <strong>of</strong> electric circuits, and to the impedance <strong>of</strong> the flow <strong>of</strong> electricity<br />

through these circuits when switches are open (Shannon, 1938). An implementational<br />

account <strong>of</strong> how a vacuum tube creates a relay <strong>of</strong> the sort illustrated in Figure<br />

2-2 would appeal to what is known as the Edison effect, in which electricity can<br />

mysteriously flow through a vacuum and the direction <strong>of</strong> this flow can be easily<br />

and quickly manipulated to manipulate the gate between the source and the drain<br />

(Josephson, 1961; Reid, 2001).<br />

That the architecture has dual lives, both physical and algorithmic (Haugeland,<br />

1985), leads to important philosophical issues. In the philosophy <strong>of</strong> science there<br />

is a great deal <strong>of</strong> interest in determining whether a theory phrased in one vocabulary<br />

(e.g., chemistry) can be reduced to another theory laid out in a different<br />

vocabulary (e.g., physics). One approach to reduction is called the “new wave”<br />

(Churchland, 1985; Hooker, 1981). In a new wave reduction, the translation <strong>of</strong><br />

one theory into another is accomplished by creating a third, intermediate theory<br />

that serves as a bridge between the two. The functional architecture is a bridge<br />

between the algorithmic and the implementational. If one firmly believed that a<br />

computational or algorithmic account could be reduced to an implementational<br />

one (Churchland, 1988), then a plausible approach to doing so would be to use the<br />

bridging properties <strong>of</strong> the architecture.<br />

The dual nature <strong>of</strong> the architecture plays a role in another philosophical discussion,<br />

the famous “Chinese room argument” (Searle, 1980). In this thought<br />

Multiple Levels <strong>of</strong> Investigation 49

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