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

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in this section. One context for this clash is provided by the research <strong>of</strong> eminent AI<br />

researcher Terry Winograd. Winograd’s PhD dissertation involved programming a<br />

computer to understand natural language, the SHRDLU system that operated in<br />

a restricted blocks world (Winograd, 1972a, 1972b). SHRDLU would begin with a<br />

representation <strong>of</strong> different shaped and coloured blocks arranged in a scene. A user<br />

would type in a natural language command to which the program would respond,<br />

either by answering a query about the scene or performing an action that changed<br />

the scene. For instance, if instructed “Pick up a big red block,” SHRDLU would<br />

comprehend this instruction, execute it, and respond with “OK.” If then told “Find a<br />

block that is taller than the one you are holding and put it in the box,” then SHRDLU<br />

had to comprehend the words one and it; it would respond “By it I assume you<br />

mean the block which is taller than the one I am holding.”<br />

Winograd’s (1972a) program was a prototypical classical system (Harnish, 2002).<br />

It parsed input strings into grammatical representations, and then it took advantage<br />

<strong>of</strong> the constraints <strong>of</strong> the specialized blocks world to map these grammatical<br />

structures onto a semantic interpretation <strong>of</strong> the scene. SHRDLU showed “that if the<br />

database was narrow enough the program could be made deep enough to display<br />

human-like interactions” (p. 121).<br />

Winograd’s later research on language continued within the classical tradition.<br />

He wrote what served as a bible to those interested in programming computers<br />

to understand language, Language As a <strong>Cognitive</strong> Process, Volume 1: Syntax<br />

(Winograd, 1983). This book introduced and reviewed theories <strong>of</strong> language and<br />

syntax, and described how those theories had been incorporated into working computer<br />

programs. As the title suggests, a second volume on semantics was planned by<br />

Winograd. However, this second volume never appeared.<br />

Instead, Winograd’s next groundbreaking book, Understanding Computers<br />

and Cognition, was one <strong>of</strong> the pioneering works in embodied cognitive science<br />

and launched a reaction against the classical approach (Winograd & Flores, 1987b).<br />

This book explained why Winograd did not continue with a text on the classical<br />

approach to semantics, because he had arrived at the opinion that classical<br />

accounts <strong>of</strong> language understanding would never be achieved. “Our position, in<br />

accord with the preceding chapters, is that computers cannot understand language”<br />

(p. 107).<br />

The reason that Winograd and Flores (1987b) adopted this position was their<br />

view that computers are restricted to a rationalist notion <strong>of</strong> meaning that, in accordance<br />

with methodological solipsism (Fodor, 1980), must interpret terms independently<br />

<strong>of</strong> external situations or contexts. Winograd and Flores argued instead for an<br />

embodied, radically non-rational account <strong>of</strong> meaning: “Meaning always derives from<br />

an interpretation that is rooted in a situation” (Winograd & Flores, 1987b, p. 111).<br />

They took their philosophical inspiration from Heidegger instead <strong>of</strong> from Descartes.<br />

Marks <strong>of</strong> the Classical? 317

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