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

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2<br />

Multiple Levels <strong>of</strong> Investigation<br />

2.0 Chapter Overview<br />

<strong>Cognitive</strong> science is an intrinsically interdisciplinary field <strong>of</strong> study. Why is this so?<br />

In the current chapter, I argue that the interdisciplinary nature <strong>of</strong> cognitive science<br />

necessarily emerges because it assumes that cognition is information processing.<br />

The position I take is that explanations <strong>of</strong> information processors require working<br />

at four different levels <strong>of</strong> investigation, with each level involving a different vocabulary<br />

and being founded upon the methodologies <strong>of</strong> different disciplines.<br />

The chapter begins with a historical treatment <strong>of</strong> logicism, the view that thinking<br />

is equivalent to performing mental logic, and shows how this view was converted<br />

into the logical analysis <strong>of</strong> relay circuits by Claude Shannon. Shannon’s work is then<br />

used to show that a variety <strong>of</strong> different arrangements <strong>of</strong> switches in a circuit can<br />

perform the same function, and that the same logical abilities can be constructed<br />

from different sets <strong>of</strong> core logical properties. Furthermore, any one <strong>of</strong> these sets <strong>of</strong><br />

logical primitives can be brought to life in a variety <strong>of</strong> different physical realizations.<br />

The consequence <strong>of</strong> this analysis is that information processors must be<br />

explained at four different levels <strong>of</strong> investigation. At the computational level, one<br />

asks what kinds <strong>of</strong> information processing problems can be solved by a system. At<br />

the algorithmic level, one asks what procedures are being used by a system to solve a<br />

particular problem <strong>of</strong> interest. At the architectural level, one asks what basic operations<br />

are used as the foundation for a specific algorithm. At the implementational<br />

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