Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence
Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate wi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ren, Minglun [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: International Journal of Social Robotics - Dordrecht [u.a.] : Springer Netherlands, 2009, 15(2023), 7 vom: 05. Juni, Seite 1101-1114 |
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| Übergeordnetes Werk: |
volume:15 ; year:2023 ; number:7 ; day:05 ; month:06 ; pages:1101-1114 |
| Links: |
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| DOI / URN: |
10.1007/s12369-023-01020-1 |
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SPR05224315X |
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| 520 | |a Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. | ||
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10.1007/s12369-023-01020-1 doi (DE-627)SPR05224315X (SPR)s12369-023-01020-1-e DE-627 ger DE-627 rakwb eng Ren, Minglun verfasserin (orcid)0000-0001-5107-2133 aut Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. Human-machine collaborative decision-making (dpeaa)DE-He213 Cognitive intelligence (dpeaa)DE-He213 Human-computer interaction (dpeaa)DE-He213 Human-machine intelligence integration (dpeaa)DE-He213 Chen, Nengying aut Qiu, Hui aut Enthalten in International Journal of Social Robotics Dordrecht [u.a.] : Springer Netherlands, 2009 15(2023), 7 vom: 05. Juni, Seite 1101-1114 (DE-627)595709982 (DE-600)2486751-2 1875-4805 nnns volume:15 year:2023 number:7 day:05 month:06 pages:1101-1114 https://dx.doi.org/10.1007/s12369-023-01020-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 7 05 06 1101-1114 |
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10.1007/s12369-023-01020-1 doi (DE-627)SPR05224315X (SPR)s12369-023-01020-1-e DE-627 ger DE-627 rakwb eng Ren, Minglun verfasserin (orcid)0000-0001-5107-2133 aut Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. Human-machine collaborative decision-making (dpeaa)DE-He213 Cognitive intelligence (dpeaa)DE-He213 Human-computer interaction (dpeaa)DE-He213 Human-machine intelligence integration (dpeaa)DE-He213 Chen, Nengying aut Qiu, Hui aut Enthalten in International Journal of Social Robotics Dordrecht [u.a.] : Springer Netherlands, 2009 15(2023), 7 vom: 05. Juni, Seite 1101-1114 (DE-627)595709982 (DE-600)2486751-2 1875-4805 nnns volume:15 year:2023 number:7 day:05 month:06 pages:1101-1114 https://dx.doi.org/10.1007/s12369-023-01020-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 7 05 06 1101-1114 |
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10.1007/s12369-023-01020-1 doi (DE-627)SPR05224315X (SPR)s12369-023-01020-1-e DE-627 ger DE-627 rakwb eng Ren, Minglun verfasserin (orcid)0000-0001-5107-2133 aut Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. Human-machine collaborative decision-making (dpeaa)DE-He213 Cognitive intelligence (dpeaa)DE-He213 Human-computer interaction (dpeaa)DE-He213 Human-machine intelligence integration (dpeaa)DE-He213 Chen, Nengying aut Qiu, Hui aut Enthalten in International Journal of Social Robotics Dordrecht [u.a.] : Springer Netherlands, 2009 15(2023), 7 vom: 05. Juni, Seite 1101-1114 (DE-627)595709982 (DE-600)2486751-2 1875-4805 nnns volume:15 year:2023 number:7 day:05 month:06 pages:1101-1114 https://dx.doi.org/10.1007/s12369-023-01020-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 7 05 06 1101-1114 |
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10.1007/s12369-023-01020-1 doi (DE-627)SPR05224315X (SPR)s12369-023-01020-1-e DE-627 ger DE-627 rakwb eng Ren, Minglun verfasserin (orcid)0000-0001-5107-2133 aut Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. Human-machine collaborative decision-making (dpeaa)DE-He213 Cognitive intelligence (dpeaa)DE-He213 Human-computer interaction (dpeaa)DE-He213 Human-machine intelligence integration (dpeaa)DE-He213 Chen, Nengying aut Qiu, Hui aut Enthalten in International Journal of Social Robotics Dordrecht [u.a.] : Springer Netherlands, 2009 15(2023), 7 vom: 05. Juni, Seite 1101-1114 (DE-627)595709982 (DE-600)2486751-2 1875-4805 nnns volume:15 year:2023 number:7 day:05 month:06 pages:1101-1114 https://dx.doi.org/10.1007/s12369-023-01020-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 7 05 06 1101-1114 |
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10.1007/s12369-023-01020-1 doi (DE-627)SPR05224315X (SPR)s12369-023-01020-1-e DE-627 ger DE-627 rakwb eng Ren, Minglun verfasserin (orcid)0000-0001-5107-2133 aut Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. Human-machine collaborative decision-making (dpeaa)DE-He213 Cognitive intelligence (dpeaa)DE-He213 Human-computer interaction (dpeaa)DE-He213 Human-machine intelligence integration (dpeaa)DE-He213 Chen, Nengying aut Qiu, Hui aut Enthalten in International Journal of Social Robotics Dordrecht [u.a.] : Springer Netherlands, 2009 15(2023), 7 vom: 05. Juni, Seite 1101-1114 (DE-627)595709982 (DE-600)2486751-2 1875-4805 nnns volume:15 year:2023 number:7 day:05 month:06 pages:1101-1114 https://dx.doi.org/10.1007/s12369-023-01020-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2023 7 05 06 1101-1114 |
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human-machine collaborative decision-making: an evolutionary roadmap based on cognitive intelligence |
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Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence |
| abstract |
Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract With the development of artificial intelligence technology, intelligent machines are increasingly equipped with human-like abilities such as autonomous decision-making, reasoning, active interaction, and situation awareness. Intelligent machines can act as peers to humans and collaborate with humans to complete decision tasks. The ability to collaborate with humans has become an indicator of the intelligence level of a machine, and determines the scope and depth of its applications. Human-machine collaborative decision-making has attracted attentions from multi-disciplines in recent years, and the diverse origins of its developments make the mechanism of collaborative decision-making ambiguous. A thorough combing of the evolution of human-machine collaboration based on cognitive intelligence is of great importance for understanding the nature of human-machine collaboration at the decision layer and guiding future studies. This article makes a retrospect on the evolution of human-machine collaborative decision-making based on cognition intelligence. It summarizes current research in three categories: the human-machine collaborative system implementation, the human-machine intelligence integrative mechanism and the human-machine interaction in collaborative decision-making process. It reveals the roadmap of the evolution of intelligent machines toward human-machine integration intelligence. Based on the roadmap, prospects for future research of human-machine collaborative decision-making are discussed. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence |
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Chen, Nengying Qiu, Hui |
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10.1007/s12369-023-01020-1 |
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| score |
7.397669 |