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Introducing the omega-machine

Published: 07 April 2014 Publication History

Abstract

In this paper, we propose the Ω-machine model for social machines. By introducing a cluster of "oracles" to a traditional Turing machine, the Ω-machine is capable of describing the interaction between human participants and mechanical machines. We also give two examples of social machines, collective intelligence and rumor spreading, and demonstrate how the general Ω-machine model could be used to simulate their computations.

References

[1]
Copeland, B. J. (1998). Turing's O- machines, Searle, Penrose and the brain. Analysis, 58(2), 128--138.
[2]
Shadbolt, N. R., Smith, D. A., Simperl, E., Van Kleek, M., Yang, Y., & Hall, W. (2013). Towards a classification framework for social machines. Proceedings of the International World Wide Web Conferences (pp. 905--912).
[3]
Sipser, M. (1997). Introduction to the Theory of Computing. PWS Publishing Company.
[4]
Berners-Lee T., Fischetti M. (1999). Weaving the Web, Harper San Francisco.

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cover image ACM Other conferences
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
April 2014
1396 pages
ISBN:9781450327459
DOI:10.1145/2567948
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]

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  • IW3C2: International World Wide Web Conference Committee

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 April 2014

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Author Tags

  1. Ω-machine
  2. social machine
  3. turing machine

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  • Research-article

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WWW '14
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  • IW3C2

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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