Conceptual Framework of a Human-Machine Collective Intelligence Environment for Decision Support

Authors

  • Alexander Smirnov St. Petersburg Federal Research Center of the Russian Academy of Sciences
  • Andrew Ponomarev St. Petersburg Federal Research Center of the Russian Academy of Sciences
  • Tatiana Levashova St. Petersburg Federal Research Center of the Russian Academy of Sciences
  • Nikolay Shilov

DOI:

https://doi.org/10.7546/CRABS.2022.01.12

Keywords:

collective intelligence, human-machine systems, ontologies, semantic interoperability, decision support

Abstract

The paper extends collective intelligence understanding to the problem-solving abilities of heterogeneous groups, consisting of human participants and software services. It describes a conceptual framework of a new computational environment, supporting such heterogeneous teams, working on decision support problems. In particular, the paper discusses the most acute problems, related to such heterogeneous collective intelligence – interoperability and self-organization. To address interoperability issues, the environment re- lies on multi-aspect ontologies and smart space-based interaction. To provide the necessary degree of self-organization, a guided self-organization approach is proposed. The proposed human-machine collective intelligence environment can improve decision-making in many complex areas, requiring collective effort and dynamic adaptation to the changing situation.

Author Biographies

Alexander Smirnov, St. Petersburg Federal Research Center of the Russian Academy of Sciences

St. Petersburg Federal Research Center of the Russian Academy of Sciences
39, 14th line, St. Petersburg, 199178, Russia
smir@iias.spb.su

Andrew Ponomarev, St. Petersburg Federal Research Center of the Russian Academy of Sciences

St. Petersburg Federal Research Center of the Russian Academy of Sciences
39, 14th line, St. Petersburg, 199178, Russia
ponomarev@iias.spb.su

Tatiana Levashova, St. Petersburg Federal Research Center of the Russian Academy of Sciences

St. Petersburg Federal Research Center of the Russian Academy of Sciences
39, 14th line, St. Petersburg, 199178, Russia
tatiana.levashova@iias.spb.su

Nikolay Shilov

St. Petersburg Federal Research Center of the Russian Academy of Sciences
39, 14th line, St. Petersburg, 199178, Russia
nick@iias.spb.su

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Published

02-02-2022

How to Cite

[1]
A. Smirnov, A. Ponomarev, T. Levashova, and N. Shilov, “Conceptual Framework of a Human-Machine Collective Intelligence Environment for Decision Support ”, C. R. Acad. Bulg. Sci. , vol. 75, no. 1, pp. 102–109, Feb. 2022.

Issue

Section

Engineering Sciences