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International Journal of Crowd Science 2019, 3(2): 198-220 https://doi.org/10.1108/IJCS-03-2019-0012
Conceptual paper | Open Access | Issue | Published: 16 August 2019

Collective hybrid intelligence: towards a conceptual framework

Show Author's Information Morteza Moradi1,  Mohammad Moradi2,  Farhad Bayat1( ),  Adel Nadjaran Toosi3
Department of Electrical Engineering, University of Zanjan, Zanjan, Iran
Young Researchers and Elite Club, Qazvin, Islamic Republic of Iran
Faculty of Information Technology, Monash University, Melbourne, Australia
Keywords:
Crowdsourcing, Human computation, Autonomous control, Collective machine intelligence, Human–machine collaboration, Hybrid intelligence
Cite this article:
Moradi M, Moradi M, Bayat F, et al. Collective hybrid intelligence: towards a conceptual framework. International Journal of Crowd Science, 2019, 3(2): 198-220. https://doi.org/10.1108/IJCS-03-2019-0012
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Abstract Full text About this article
Purpose

Human or machine, which one is more intelligent and powerful for performing computing and processing tasks? Over the years, researchers and scientists have spent significant amounts of money and effort to answer this question. Nonetheless, despite some outstanding achievements, replacing humans in the intellectual tasks is not yet a reality. Instead, to compensate for the weakness of machines in some (mostly cognitive) tasks, the idea of putting human in the loop has been introduced and widely accepted. In this paper, the notion of collective hybrid intelligence as a new computing framework and comprehensive.

Design/methodology/approach

According to the extensive acceptance and efficiency of crowdsourcing, hybrid intelligence and distributed computing concepts, the authors have come up with the (complementary) idea of collective hybrid intelligence. In this regard, besides providing a brief review of the efforts made in the related contexts, conceptual foundations and building blocks of the proposed framework are delineated. Moreover, some discussion on architectural and realization issues are presented.

Findings

The paper describes the conceptual architecture, workflow and schematic representation of a new hybrid computing concept. Moreover, by introducing three sample scenarios, its benefits, requirements, practical roadmap and architectural notes are explained.

Originality/value

The major contribution of this work is introducing the conceptual foundations to combine and integrate collective intelligence of humans and machines to achieve higher efficiency and (computing) performance. To the best of the authors’ knowledge, this the first study in which such a blessing integration is considered. Therefore, it is believed that the proposed computing concept could inspire researchers toward realizing such unprecedented possibilities in practical and theoretical contexts.


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Abstract
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About this article

Collective hybrid intelligence: towards a conceptual framework

Show Author's information Morteza Moradi1, Mohammad Moradi2, Farhad Bayat1( ), Adel Nadjaran Toosi3
Department of Electrical Engineering, University of Zanjan, Zanjan, Iran
Young Researchers and Elite Club, Qazvin, Islamic Republic of Iran
Faculty of Information Technology, Monash University, Melbourne, Australia

Abstract

Purpose

Human or machine, which one is more intelligent and powerful for performing computing and processing tasks? Over the years, researchers and scientists have spent significant amounts of money and effort to answer this question. Nonetheless, despite some outstanding achievements, replacing humans in the intellectual tasks is not yet a reality. Instead, to compensate for the weakness of machines in some (mostly cognitive) tasks, the idea of putting human in the loop has been introduced and widely accepted. In this paper, the notion of collective hybrid intelligence as a new computing framework and comprehensive.

Design/methodology/approach

According to the extensive acceptance and efficiency of crowdsourcing, hybrid intelligence and distributed computing concepts, the authors have come up with the (complementary) idea of collective hybrid intelligence. In this regard, besides providing a brief review of the efforts made in the related contexts, conceptual foundations and building blocks of the proposed framework are delineated. Moreover, some discussion on architectural and realization issues are presented.

Findings

The paper describes the conceptual architecture, workflow and schematic representation of a new hybrid computing concept. Moreover, by introducing three sample scenarios, its benefits, requirements, practical roadmap and architectural notes are explained.

Originality/value

The major contribution of this work is introducing the conceptual foundations to combine and integrate collective intelligence of humans and machines to achieve higher efficiency and (computing) performance. To the best of the authors’ knowledge, this the first study in which such a blessing integration is considered. Therefore, it is believed that the proposed computing concept could inspire researchers toward realizing such unprecedented possibilities in practical and theoretical contexts.

Keywords: Crowdsourcing, Human computation, Autonomous control, Collective machine intelligence, Human–machine collaboration, Hybrid intelligence

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Publication history

Received: 26 March 2019
Revised: 03 June 2019
Accepted: 11 July 2019
Published: 16 August 2019
Issue date: September 2019

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© The author(s)

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Morteza Moradi, Mohammad Moradi, Farhad Bayat and Adel Nadjaran Toosi. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

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