skip to main content
10.1145/2322176.2322189acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesacm-turingConference Proceedingsconference-collections
panel

An Algorithmic View of the Universe

Published: 15 June 2012 Publication History

Abstract

In the years since Alan Turing, and following his lead, computer scientists advanced their understanding of computational phenomena by developing a very specialized, original and penetrating way of rigorous thinking. Now it turns out that this "algorithmic" way of thinking can be applied productively to the study of important phenomena outside computation proper (examples: the cell, the brain, the market, the universe, indeed mathematical truth itself). This development is an exquisite unintended consequence of the fact that there is latent computation underlying each of these phenomena, or the ways in which science studies them.

Supplementary Material

JPG File (11-sat-acm.jpg)
MP4 File (11-sat-acm.mp4)

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ACM-TURING '12: ACM Turing Centenary Celebration
June 2012
35 pages
ISBN:9781450339193
DOI:10.1145/2322176
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2012

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Panel

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 1,285
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

View Options

View options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media