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Communication Complexity: A New Approach to Circuit Depth

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Communication Complexity describes a new intuitive model for studying circuit networks that captures the essence of circuit depth. Although the complexity of boolean functions has been studied for almost 4 decades, the main problems the inability to show a separation of any two classes, or to obtain nontrivial lower bounds remain unsolved. The communication complexity approach provides clues as to where to took for the heart of complexity and also sheds light on how to get around the difficulty of proving lower bounds.Karchmer's approach looks at a computation device as one that separates the words of a language from the non-words. It views computation in a top down fashion, making explicit the idea that flow of information is a crucial term for understanding computation. Within this new setting, Communication Complexity gives simpler proofs to old results and demonstrates the usefulness of the approach by presenting a depth lower bound for st-connectivity. Karchmer concludes by proposing open problems which point toward proving a general depth lower bound.Mauricio Karchmer received his doctorate from Hebrew University and is currently a Postdoctoral Fellow at the University of Toronto. Communication Complexity received the 1988 ACM Doctoral Dissertation Award.OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Mass. : : MIT Press,., 1989

Collation

1 online resource (68 pages).

Language

English

ISBN/ISSN

9780262256490

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Computational complexity.
Logic circuits.
Algebra, Boolean.
Automatic theorem proving.

Specific Detail Info

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Statement of Responsibility

Mauricio Karchmer.

Other Information

Cataloger

imron

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.7551/mitpress/1948.001.0001

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