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Was sollen wir tun? Was dürfen wir glauben? - bei DuEPublico ...

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THE ARCHE OF COGNITION 265<br />

output layer (motor control), and the layer in between (cognition) as the delicious filling of<br />

the sandwich. The embodied cognition research program directly addresses the shortcomings<br />

of the traditional views, where the body and its interactions with the world are considered as<br />

peripheral to the understanding of the nature of mind and cognition. This deficiency is<br />

pointed out by proponents of a new research program stating that cognition is “embodied” or<br />

“grounded”, though it is often unclear what these terms mean.<br />

Proponents of the embodied cognition research program typically aim not only at challenging<br />

and further undermining classical views of the mind, such as the computational and<br />

representational theories of mind presented by Newell & Simon and Fodor, but they also<br />

often deny the commonly accepted assumption in the philosophy of mind that the mind is<br />

identical to the brain or is somehow realized by it. We say “typically” and “often” because the<br />

research program of embodied cognition does not have a single or specific theoretical<br />

perspective (for an overview cf. Wilson 2002). It is rather characterized by a heterogeneous<br />

variety of accounts, which altogether stress the relevance of the body of a cognitive system<br />

and its interactions with the environment for its cognitive processes; according to this general<br />

view, cognition presupposes a perceiving and moving body (cf. Gallagher 2005; Thompson<br />

2007). Due to the variety of viewpoints, the precise meaning of the terms “embodied<br />

cognition” or “embodiment” is hardly univocal (cf. Clark 2008a, Clark 2008b, Kiverstein &<br />

Clark 2009, Shapiro 2011). Indeed, perhaps these different accounts are only unified by<br />

sharing a commitment to criticizing or even replacing traditional approaches to cognition.<br />

Many do so by focusing on the contribution of the nonneural body itself to cognitive<br />

processes, such that mind itself is constituted by both brain and body (see Shapiro 2011: 158-<br />

200). Others do so by arguing that real biological systems do not require representations to<br />

achieve cognitive tasks, and that a fortiori they should not be modeled as representational<br />

systems, because they are computationally too costly.<br />

2. Representationalism and Anti-Representationalism<br />

In the very beginning of embodied cognition approaches, researchers were generally inspired<br />

by anti-representationalist theories like Gibson’s ecological psychology and new models for<br />

robotics capable for guiding adaptive behavior and flexible interactions with the environment.<br />

Gibson developed an ecological theory of perception (1979) to explain visual perception as a<br />

result of interactions between the body of a cognitive system and the environment. On this<br />

account perception is understood as “direct”, i.e. not involving additional computation or<br />

internal representations. For Gibson there is no need to postulate further cognitive processing<br />

in addition to perception and action because for him all necessary information for guiding<br />

action is already given in perception. For the influence of Gibson’s account for further<br />

conceptions of embodied cognition is most important that the bodily constitution of an<br />

organism determines every perception and action. And more precisely, especially the<br />

perception of one’s own body is the underlying and prevailing principle for perceiving the<br />

environment:<br />

[E]xteroception is accompanied by proprioception – that to perceive the world is to<br />

perceive oneself. (Gibson 1979: 141)<br />

Nowadays, the most prominent anti-representationalist view is the dynamical systems theory,<br />

as presented by, e.g., Beer (2000, 2003), Thelen and Smith (1994) and Port and van Gelder<br />

(1995), and most recently by Chemero (2009). Dynamical systems theory is used to explain<br />

adaptive behavior and is also supported by research in robotics and artificial intelligence (cf.<br />

Pfeifer and Bongard 2007). Generally, a dynamical system is understood as a system that<br />

changes over time and is best described by the elements and products of a set of differential

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