Collective hybrid intelligence: towards a conceptual framework
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 h...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2019-03-01
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| Series: | International Journal of Crowd Science |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/IJCS-03-2019-0012/full/pdf?title=collective-hybrid-intelligence-towards-a-conceptual-framework |
| _version_ | 1811249500286615552 |
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| author | Morteza Moradi Mohammad Moradi Farhad Bayat Adel Nadjaran Toosi |
| author_facet | Morteza Moradi Mohammad Moradi Farhad Bayat Adel Nadjaran Toosi |
| author_sort | Morteza Moradi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T15:47:27Z |
| format | Article |
| id | doaj.art-6d979b104a4f46e6a40c0e8372f80466 |
| institution | Directory Open Access Journal |
| issn | 2398-7294 |
| language | English |
| last_indexed | 2024-04-12T15:47:27Z |
| publishDate | 2019-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | International Journal of Crowd Science |
| spelling | doaj.art-6d979b104a4f46e6a40c0e8372f804662022-12-22T03:26:37ZengTsinghua University PressInternational Journal of Crowd Science2398-72942019-03-013219822010.1108/IJCS-03-2019-0012631968Collective hybrid intelligence: towards a conceptual frameworkMorteza Moradi0Mohammad Moradi1Farhad Bayat2Adel Nadjaran Toosi3Department of Electrical Engineering, University of Zanjan, Zanjan, IranYoung Researchers and Elite Club, Qazvin, Islamic Republic of IranDepartment of Electrical Engineering, University of Zanjan, Zanjan, IranMonash University, Bandar Sunway, MalaysiaPurpose - 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.https://www.emerald.com/insight/content/doi/10.1108/IJCS-03-2019-0012/full/pdf?title=collective-hybrid-intelligence-towards-a-conceptual-frameworkcrowdsourcinghuman computationautonomous controlcollective machine intelligencehuman–machine collaborationhybrid intelligence |
| spellingShingle | Morteza Moradi Mohammad Moradi Farhad Bayat Adel Nadjaran Toosi Collective hybrid intelligence: towards a conceptual framework International Journal of Crowd Science crowdsourcing human computation autonomous control collective machine intelligence human–machine collaboration hybrid intelligence |
| title | Collective hybrid intelligence: towards a conceptual framework |
| title_full | Collective hybrid intelligence: towards a conceptual framework |
| title_fullStr | Collective hybrid intelligence: towards a conceptual framework |
| title_full_unstemmed | Collective hybrid intelligence: towards a conceptual framework |
| title_short | Collective hybrid intelligence: towards a conceptual framework |
| title_sort | collective hybrid intelligence towards a conceptual framework |
| topic | crowdsourcing human computation autonomous control collective machine intelligence human–machine collaboration hybrid intelligence |
| url | https://www.emerald.com/insight/content/doi/10.1108/IJCS-03-2019-0012/full/pdf?title=collective-hybrid-intelligence-towards-a-conceptual-framework |
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