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The Mathematician and the Social Computer: A Look into the Future

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Social Collective Intelligence

Part of the book series: Computational Social Sciences ((CSS))

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Abstract

In our evolving world, machines interact more and more in natural human terms across a range of activities and applications. By combining the strengths of human mathematical reasoning and machine capabilities for increasingly high level automated processing, we have a new paradigm for problem solving. We are closer every year to having human and intelligent agents brainstorming together. In the words of a modern philosopher, “The machine frees the human mind, and challenges it to new horizons.” Thus, our mathematician just might be able to help an intelligent agent with some of its major challenges, and vice versa.

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Notes

  1. 1.

    http://www.ayasdi.com/.

  2. 2.

    http://en.wikipedia.org/wiki/Watson_(computer).

References

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Author information

Authors and Affiliations

  1. The Caesarea Rothschild Institute for Computer Science, University of Haifa, Mt. Carmel, Haifa, 31905, Israel

    Martin Charles Golumbic

Authors
  1. Martin Charles Golumbic
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Correspondence to Martin Charles Golumbic .

Editor information

Editors and Affiliations

  1. CREATE-NET, Trento, Italy

    Daniele Miorandi

  2. University of Trento, Trento, Italy

    Vincenzo Maltese

  3. School of Informatics Informatics, The University of Edinburgh, Edinburgh, United Kingdom

    Michael Rovatsos

  4. Faculty EEMCS, University of Twente, Enschede, The Netherlands

    Anton Nijholt

  5. The University of Edinburgh, Edinburgh, United Kingdom

    James Stewart

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Golumbic, M.C. (2014). The Mathematician and the Social Computer: A Look into the Future. In: Miorandi, D., Maltese, V., Rovatsos, M., Nijholt, A., Stewart, J. (eds) Social Collective Intelligence. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-08681-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-08681-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08680-4

  • Online ISBN: 978-3-319-08681-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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