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Phi-features and the Modular Architecture of - UMR 7023 - CNRS

Phi-features and the Modular Architecture of - UMR 7023 - CNRS

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12<br />

1.2 <strong>Modular</strong> architectures<br />

In syntax <strong>and</strong> its adjacent modules <strong>of</strong> realization <strong>and</strong> interpretation, different<br />

mechanisms see <strong>and</strong> operate on phi-<strong>features</strong>. <strong>Phi</strong>-<strong>features</strong> st<strong>and</strong> out an alphabet<br />

shared across <strong>the</strong> modules. Through <strong>the</strong>m, <strong>the</strong> distinctive character <strong>of</strong> each module<br />

may be discerned in <strong>the</strong> character <strong>of</strong> its phi-feature phenomena, <strong>and</strong> <strong>the</strong> interpretability<br />

<strong>of</strong> <strong>the</strong> output <strong>of</strong> one module to ano<strong>the</strong>r investigated.<br />

The modularity hypo<strong>the</strong>sis in (5) is a proposal about <strong>the</strong> architecture <strong>of</strong> human<br />

cognition:<br />

(5) <strong>Modular</strong>ity hypo<strong>the</strong>sis: cognition is organized into modules that are characterized<br />

by <strong>the</strong> following properties, <strong>the</strong>ir modular signature:<br />

a. partly different information types (domain specificity)<br />

(e.g. syntactic vs. phonological <strong>features</strong>)<br />

b. partly different mechanisms/principles<br />

(e.g. unbounded hierarchical vs. linearly adjacent dependencies)<br />

c. partial encapsulation from (inaccessibility to) o<strong>the</strong>r modules<br />

(e.g. phonology does not look into syntax <strong>and</strong> change an intermediate<br />

computation or an intermediate representation)<br />

The hypo<strong>the</strong>sis admits a range <strong>of</strong> executions that differ in <strong>the</strong> type <strong>and</strong> degree<br />

<strong>of</strong> uniqueness <strong>and</strong> autonomy <strong>of</strong> <strong>the</strong> modules. It characterizes <strong>the</strong> way cognition<br />

functions, without commitments to <strong>the</strong> neurological localisability or innate character<br />

<strong>of</strong> modules. It is applicable to a variety <strong>of</strong> cognitive domains, without asserting<br />

<strong>the</strong> nonexistence <strong>of</strong> nonmodular systems. The formulation in (5) is suggested by<br />

much recent inquiry, notably Chomsky (1980), Marr (1983), Pinker (1994),<br />

Jackend<strong>of</strong>f (2002), Col<strong>the</strong>art (1999), Sperber (2002), Barrett (2005), Barrett <strong>and</strong><br />

Kurzban (2006), <strong>and</strong> <strong>the</strong> articles in Carru<strong>the</strong>rs, Laurence <strong>and</strong> Stitch (2005, 2007).<br />

These build on but also differentiate <strong>the</strong>mselves from Fodor's (1983) pioneering<br />

proposal where modules are fur<strong>the</strong>rmore innately specified, fast-<strong>and</strong>-automatic,<br />

neurologically localisable input transducers. A brief look at modularity in ano<strong>the</strong>r<br />

cognitive domain provides a perspective for its manifestations in language.<br />

Low-level vision has been a paradigm case <strong>of</strong> modularity. Pylyshyn (1999)<br />

presents an overview highlighting its high degree <strong>of</strong> uniqueness <strong>and</strong> autonomy<br />

from <strong>the</strong> "central" cognitive system <strong>of</strong> goals, beliefs, <strong>and</strong> utilities (cf. also<br />

Raftopoulos 2001). These characteristics <strong>of</strong> vision may be illustrated through visual<br />

illusions such as those in Figure 1.1. In <strong>the</strong> Kanisza rectangle, interrupted contours<br />

are automatically completed to build <strong>the</strong> percepts <strong>of</strong> a foregrounded rectangle<br />

<strong>and</strong> four occluded circles, although <strong>the</strong> image can reflect a scene without<br />

corresponding objects. In <strong>the</strong> Penrose triangle, <strong>the</strong> spatial relationships between<br />

any two bars are locally computed from <strong>the</strong>ir joints, <strong>and</strong> <strong>the</strong>n maintained when<br />

<strong>the</strong>y are all assembled into a single physically impossible object. In <strong>the</strong> Müller-

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