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

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usiness <strong>of</strong> carrying out reverse engineering (Dennett, 1998). They start with a complete,<br />

pre-existing cognitive agent. They then observe its behaviour, not to mention<br />

how the behaviour is affected by various experimental manipulations. The results<br />

<strong>of</strong> these observations are frequently used to create theories in the form <strong>of</strong> computer<br />

simulations (Newell & Simon, 1961). For instance, Newell and Simon (1972) collected<br />

data in the form <strong>of</strong> verbal protocols, and then used these protocols to derive<br />

working production systems. In other words, when analytic methodologies are<br />

used, the collection <strong>of</strong> data precedes the creation <strong>of</strong> a model.<br />

The analytic nature <strong>of</strong> most cognitive science is reflected in its primary<br />

methodology, functional analysis, a prototypical example <strong>of</strong> reverse engineering<br />

(Cummins, 1975, 1983). Functional analysis dictates a top-down decomposition<br />

from the broad and abstract (i.e., computational specification <strong>of</strong> functions) to the<br />

narrower and more concrete (i.e., architecture and implementation).<br />

Even the natural computation approach in vision endorsed a top-down analytic<br />

approach, moving from computational to implementational analyses instead <strong>of</strong> in<br />

the opposite direction. This was because higher-level analyses were used to guide<br />

interpretations <strong>of</strong> the lower levels.<br />

In order to understand why the receptive fields are as they are—why they are circularly<br />

symmetrical and why their excitatory and inhibitory regions have characteristic<br />

shapes and distributions—we have to know a little <strong>of</strong> the theory <strong>of</strong> differential<br />

operators, band-pass channels, and the mathematics <strong>of</strong> the uncertainty principle.<br />

(Marr, 1982, p. 28)<br />

An alternative approach is synthetic, not analytic; it is bottom-up instead <strong>of</strong> topdown;<br />

and it applies forward engineering instead <strong>of</strong> reverse engineering. This<br />

approach has been called synthetic psychology (Braitenberg, 1984). In synthetic psychology,<br />

one takes a set <strong>of</strong> primitive building blocks <strong>of</strong> interest and creates a working<br />

system from them. The behaviour <strong>of</strong> this system is observed in order to determine<br />

what surprising phenomena might emerge from simple components, particularly<br />

when they are embedded in an interesting or complex environment. As a result, in<br />

synthetic psychology, models precede data, because they are the source <strong>of</strong> data.<br />

The forward engineering that characterizes synthetic psychology proceeds as<br />

a bottom-up construction (and later exploration) <strong>of</strong> a cognitive model. Braitenberg<br />

(1984) argued that this approach would produce simpler theories than those produced<br />

by analytic methodologies, because analytic models fail to recognize the<br />

influence <strong>of</strong> the environment, falling prey to what is known as the frame <strong>of</strong> reference<br />

problem (Pfeifer & Scheier, 1999). Also, analytic techniques have only indirect<br />

access to internal components, in contrast to the complete knowledge <strong>of</strong> such structures<br />

that is possessed by a synthetic designer.<br />

420 Chapter 9

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