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

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The opposite pole <strong>of</strong> the continuum for relating different approaches in cognitive<br />

science is defined by theories that propose sharp differences between different<br />

schools <strong>of</strong> thought, and which argue in favor <strong>of</strong> adopting one while abandoning<br />

others (Chemero, 2009; Fodor & Pylyshyn, 1988; Smolensky, 1988; Winograd &<br />

Flores, 1987b).<br />

One problem with this end <strong>of</strong> the continuum, an issue that is the central theme <strong>of</strong><br />

the current chapter, is that it is very difficult to define marks <strong>of</strong> the classical, features<br />

that uniquely distinguish classical cognitive science from competing approaches.<br />

Our examination <strong>of</strong> the modern computing devices that inspired classical cognitive<br />

science revealed that many <strong>of</strong> these machines lacked some <strong>of</strong> the properties that are<br />

<strong>of</strong>ten considered marks <strong>of</strong> the classical. That is, it is not clear that properties such as<br />

central control, serial processing, local and internal representations, explicit rules,<br />

and the cognitive vocabulary are characteristics that distinguish classical theories<br />

from other kinds <strong>of</strong> models.<br />

The failure to find clear marks <strong>of</strong> the classical may suggest that a more pr<strong>of</strong>itable<br />

perspective rests somewhere along the middle <strong>of</strong> the continuum for relating<br />

different approaches to cognitive science, for a couple <strong>of</strong> reasons. For one, the<br />

extent to which a particular theory is classical (or connectionist, or embodied) may<br />

be a matter <strong>of</strong> degrees. That is, any theory in cognitive science may adopt features<br />

such as local vs. distributed representations, internal vs. external memories, serial<br />

vs. parallel processes, and so on, to varying degrees. Second, differences between<br />

approaches may be important in the middle <strong>of</strong> the continuum, but may not be so<br />

extreme or distinctive that alternative perspectives cannot be co-operatively coordinated<br />

to account for cognitive phenomena.<br />

To say this differently, rather than seeking marks <strong>of</strong> the classical, perhaps<br />

we should find arcs that provide links between different theoretical perspectives.<br />

One phenomenon might not nicely lend itself to an explanation from one school<br />

<strong>of</strong> thought, but be more easily accounted for by applying more than one school<br />

<strong>of</strong> thought at the same time. This is because the differing emphases <strong>of</strong> the simultaneously<br />

applied models may be able to capture different kinds <strong>of</strong> regularities.<br />

<strong>Cognitive</strong> science might be unified to the extent that it permits different theoretical<br />

approaches to be combined in hybrid models.<br />

A hybrid model is one in which two or more approaches are applied simultaneously<br />

to provide a complete account <strong>of</strong> a whole phenomenon. The approaches<br />

might be unable to each capture the entirety <strong>of</strong> the phenomenon, but—in a fashion<br />

analogous to coarse coding—provide a complete theory when the different aspects<br />

that they capture are combined. One example <strong>of</strong> such a theory is provided in David<br />

McNeill’s (2005) Gesture And Thought.<br />

McNeill (2005) noted that the focus <strong>of</strong> modern linguistic traditions on competence<br />

instead <strong>of</strong> performance (Chomsky, 1965) emphasizes the study <strong>of</strong> static<br />

356 Chapter 7

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