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

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motto should hold. A principle <strong>of</strong> rationality, operating on propositional attitudes,<br />

should <strong>of</strong>fer real predictive power.<br />

However, the logicism underlying the intentional stance leads to a serious problem<br />

for classical cognitive science. This is because a wealth <strong>of</strong> experiments has shown<br />

that human reasoners deviate from principles <strong>of</strong> logic or rationality (Hastie, 2001;<br />

Tversky & Kahneman, 1974; Wason, 1966; Wason & Johnson-Laird, 1972). “A purely<br />

formal, or syntactic, approach to [reasoning] may suffer from severe limitations”<br />

(Wason & Johnson-Laird, 1972, p. 244). This <strong>of</strong>fers a severe challenge to classical<br />

cognitive science’s adherence to logicism: if thinking is employing mental logic,<br />

then how is it possible for thinkers to be illogical?<br />

It is not surprising that many attempts have been made to preserve logicism<br />

by providing principled accounts <strong>of</strong> deviations from rationalism. Some <strong>of</strong> these<br />

attempts have occurred at the computational level and have involved modifying the<br />

definition <strong>of</strong> rationality by adopting a different theory about the nature <strong>of</strong> mental<br />

logic. Such attempts include rational analysis (Chater & Oaksford, 1999) and probabilistic<br />

theories (Oaksford & Chater, 1998, 2001). Other, not unrelated approaches<br />

involve assuming that ideal mental logics are constrained by algorithmic and<br />

architectural-level realities, such as limited memory and real time constraints.<br />

The notion <strong>of</strong> bounded rationality is a prototypical example <strong>of</strong> this notion (Chase,<br />

Hertwig, & Gigerenzer, 1998; Evans, 2003; Hastie, 2001; Rubinstein, 1998; Simon,<br />

Egidi, & Marris, 1995).<br />

The attempts to preserve logicism reflect the importance <strong>of</strong> the intentional<br />

stance, and the semanticist’s motto, to cognitive science. Classical cognitive science<br />

is committed to the importance <strong>of</strong> a cognitive vocabulary, a vocabulary that invokes<br />

the contents <strong>of</strong> mental states (Pylyshyn, 1984).<br />

3.9 Structure and Process<br />

The physical symbol systems <strong>of</strong> classical cognitive science make a sharp distinction<br />

between symbols and the rules that manipulate them. This is called the structure/<br />

process distinction. For instance, in a Turing machine the symbols reside in one<br />

medium (the ticker tape) that is separate from another medium (the machine head)<br />

that houses the operators for manipulating symbols. Whatever the specific nature <strong>of</strong><br />

cognition’s universal machine, if it is a classical physical symbol system, then it will<br />

exhibit the structure/process distinction.<br />

In general, what can be said about the symbols that define the structure that<br />

is manipulated by a physical symbol system? It has been argued that cognitive science’s<br />

notion <strong>of</strong> symbol is ill defined (Searle, 1992). Perhaps this is because apart<br />

from the need that symbols be physically distinctive, so that they can be identified<br />

Elements <strong>of</strong> Classical <strong>Cognitive</strong> <strong>Science</strong> 85

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