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1 - The computational model – and why it doesn't matter

from PART ONE - BASIC COMPLEXITY CLASSES

Published online by Cambridge University Press:  05 June 2012

Sanjeev Arora
Affiliation:
Princeton University, New Jersey
Boaz Barak
Affiliation:
Princeton University, New Jersey
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Summary

The idea behind digital computers may be explained by saying that these machines are intended to carry out any operations which could be done by a human computer. The human computer is supposed to be following fixed rules; he has no authority to deviate from them in any detail. We may suppose that these rules are supplied in a book, which is altered whenever he is put on to a new job. He has also an unlimited supply of paper on which he does his calculations.

– Alan Turing, 1950

[Turing] has for the first time succeeded in giving an absolute definition of an interesting epistemological notion, i.e., one not depending on the formalism chosen.

– Kurt Gödel, 1946

The problem of mathematically modeling computation may at first seem insurmountable: Throughout history people have been solving computational tasks using a wide variety of methods, ranging from intuition and “eureka” moments to mechanical devices such as abacus or sliderules to modern computers. Besides that, other organisms and systems in nature are also faced with and solve computational tasks every day using a bewildering array of mechanisms. How can you find a simple mathematical model that captures all of these ways to compute? The problem is even further exacerbated since in this book we are interested in issues of computational efficiency. Here, at first glance, it seems that we have to be very careful about our choice of a computational model, since even a kid knows that whether or not a new video game program is “efficiently computable” depends upon his computer's hardware.

Type
Chapter
Information
Computational Complexity
A Modern Approach
, pp. 9 - 37
Publisher: Cambridge University Press
Print publication year: 2009

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