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

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it—as an affordance, a set <strong>of</strong> possible behaviors” (Metzinger, 2009, p. 167). In short,<br />

while embodied and classical cognitive scientists seek implementational evidence,<br />

they are likely to interpret it very differently.<br />

The materialism <strong>of</strong> embodied cognitive science leads naturally to proposals<br />

<strong>of</strong> functional architectures. An architecture is a set <strong>of</strong> primitives, a physically<br />

grounded toolbox <strong>of</strong> core processes, from which cognitive phenomena emerge.<br />

Explicit statements <strong>of</strong> primitive processes are easily found in embodied cognitive<br />

science. For example, it is common to see subsumption architectures explicitly<br />

laid out in accounts <strong>of</strong> behaviour-based robots (Breazeal, 2002; Brooks, 1999, 2002;<br />

Kube & Bonabeau, 2000; Scassellati, 2002).<br />

Of course, the primitive components <strong>of</strong> a typical subsumption architecture are<br />

designed to mediate actions on the world, not to aid in the creation <strong>of</strong> models <strong>of</strong><br />

it. As a result, the assumptions underlying embodied cognitive science’s primitive<br />

sense-act cycles are quite different from those underlying classical cognitive science’s<br />

primitive sense-think-act processing.<br />

As well, embodied cognitive science’s emphasis on the fundamental role <strong>of</strong> an<br />

agent’s environment can lead to architectural specifications that can dramatically<br />

differ from those found in classical cognitive science. For instance, a core aspect<br />

<strong>of</strong> an architecture is control—the mechanisms that choose which primitive operation<br />

or operations to execute at any given time. Typical classical architectures will<br />

internalize control; for example, the central executive in models <strong>of</strong> working memory<br />

(Baddeley, 1986). In contrast, in embodied cognitive science an agent’s environment<br />

is critical to control; for example, in architectures that exploit stigmergy<br />

(Downing & Jeanne, 1988; Holland & Melhuish, 1999; Karsai, 1999; Susi & Ziemke,<br />

2001; Theraulaz & Bonabeau, 1999). This suggests that the notion <strong>of</strong> the extended<br />

mind is really one <strong>of</strong> an extended architecture; control <strong>of</strong> processing can reside outside<br />

<strong>of</strong> an agent.<br />

When embodied cognitive scientists posit an architectural role for the environment,<br />

as is required in the notion <strong>of</strong> stigmergic control, this means that an agent’s<br />

physical body must also be a critical component <strong>of</strong> an embodied architecture. One<br />

reason for this is that from the embodied perspective, an environment cannot be<br />

defined in the absence <strong>of</strong> an agent’s body, as in proposing affordances (Gibson, 1979).<br />

A second reason for this is that if an embodied architecture defines sense-act primitives,<br />

then the available actions that are available are constrained by the nature<br />

<strong>of</strong> an agent’s embodiment. A third reason for this is that some environments are<br />

explicitly defined, at least in part, by bodies. For instance, the social environment<br />

for a sociable robot such as Kismet (Breazeal, 2002) includes its moveable ears, eyebrows,<br />

lips, eyelids, and head, because it manipulates these bodily components to<br />

coordinate its social interactions with others.<br />

256 Chapter 5

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