{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T12:59:54Z","timestamp":1782824394929,"version":"3.54.5"},"reference-count":58,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:00:00Z","timestamp":1614038400000},"content-version":"vor","delay-in-days":53,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003443","name":"Ministry of Education and Science of the Russian Federation","doi-asserted-by":"publisher","award":["14.756.31.0001"],"award-info":[{"award-number":["14.756.31.0001"]}],"id":[{"id":"10.13039\/501100003443","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>This article discusses some trends and concepts in developing a new generation of future Artificial General Intelligence (AGI) systems which relate to complex facets and different types of human intelligence, especially social, emotional, attentional, and ethical intelligence. We describe various aspects of multiple human intelligences and learning styles, which may affect a variety of AI problem domains. Using the concept of \u201cmultiple intelligences\u201d rather than a single type of intelligence, we categorize and provide working definitions of various AGIs depending on their cognitive skills or capacities. Future AI systems will be able not only to communicate with human users and each other but also to efficiently exchange knowledge and wisdom with abilities of cooperation, collaboration, and even cocreating something new and valuable and have metalearning capacities. Multiagent systems such as these can be used to solve problems that would be difficult to solve by any individual intelligent agent.<\/jats:p>","DOI":"10.1155\/2021\/8893795","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T19:37:39Z","timestamp":1614109059000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["Future Trends for Human\u2010AI Collaboration: A Comprehensive Taxonomy of AI\/AGI Using Multiple Intelligences and Learning Styles"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8364-7226","authenticated-orcid":false,"given":"Andrzej","family":"Cichocki","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9736-2929","authenticated-orcid":false,"given":"Alexander P.","family":"Kuleshov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,2,23]]},"reference":[{"key":"e_1_2_14_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tine.2017.02.002"},{"key":"e_1_2_14_2_2","doi-asserted-by":"publisher","DOI":"10.1631\/fitee.1700053"},{"key":"e_1_2_14_3_2","doi-asserted-by":"publisher","DOI":"10.2478\/jagi-2019-0002"},{"key":"e_1_2_14_4_2","doi-asserted-by":"publisher","DOI":"10.2478\/jagi-2020-0003"},{"key":"e_1_2_14_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"e_1_2_14_6_2","unstructured":"SchmidhuberJ. Deep learning: our miraculous year 1990-1991 2020 https:\/\/arxiv.org\/abs\/2005.05744."},{"key":"e_1_2_14_7_2","volume-title":"One Intelligence or Many? Alternative Approaches to Cognitive Abilities","author":"Paik H. S.","year":"1998"},{"key":"e_1_2_14_8_2","volume-title":"Intelligence Reframed: Multiple Intelligences for the 21st Century","author":"Gardner H. E.","year":"2000"},{"key":"e_1_2_14_9_2","doi-asserted-by":"publisher","DOI":"10.1207\/s15326985ep4104_2"},{"key":"e_1_2_14_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.lindif.2009.12.010"},{"key":"e_1_2_14_11_2","doi-asserted-by":"publisher","DOI":"10.1177\/1461444819858691"},{"key":"e_1_2_14_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2018.03.007"},{"key":"e_1_2_14_13_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.so.20.080194.002203"},{"key":"e_1_2_14_14_2","article-title":"Artificial intelligence: distinguishing between types & definitions","volume":"19","author":"De Berker R.","year":"2019","journal-title":"Nevada Law Journal"},{"key":"e_1_2_14_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2016.09.005"},{"key":"e_1_2_14_16_2","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.11396"},{"key":"e_1_2_14_17_2","volume-title":"Deep Learning","author":"Goodfellow I.","year":"2016"},{"key":"e_1_2_14_18_2","doi-asserted-by":"crossref","unstructured":"ShiQ. YinJ. CaiJ.et al. Block Hankel tensor ARIMA for multiple short time series forecasting Proceedings of the AAAI February 2020 New York NY USA 5758\u20135766.","DOI":"10.1609\/aaai.v34i04.6032"},{"key":"e_1_2_14_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3037923"},{"key":"e_1_2_14_20_2","doi-asserted-by":"publisher","DOI":"10.1587\/nolta.1.37"},{"key":"e_1_2_14_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2977374"},{"key":"e_1_2_14_22_2","unstructured":"Hernandez-LealP. KaisersM. BaarslagT. andDe CoteE. M. A survey of learning in multi agent environments: dealing with non-stationarity 2017 https:\/\/arxiv.org\/abs\/1707.09183."},{"key":"e_1_2_14_23_2","first-page":"122","article-title":"Cognitive architectures: where do we go from here?","volume":"171","author":"Duch W.","year":"2008","journal-title":"Artificial General Intelligence\u2013AGI"},{"key":"e_1_2_14_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2019.12.002"},{"key":"e_1_2_14_25_2","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.93.2.298"},{"key":"e_1_2_14_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/mci.2007.385365"},{"key":"e_1_2_14_27_2","volume-title":"Moral Intelligence: Enhancing Business Performance and Leadership Success","author":"Lennick D.","year":"2007"},{"key":"e_1_2_14_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2007.41"},{"key":"e_1_2_14_29_2","doi-asserted-by":"publisher","DOI":"10.1207\/s15326985ep4104_1"},{"key":"e_1_2_14_30_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.paid.2020.110000"},{"key":"e_1_2_14_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.intell.2020.101433"},{"key":"e_1_2_14_32_2","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00025"},{"key":"e_1_2_14_33_2","article-title":"Why AI will never surpass human intelligence","volume":"11","author":"Bartholomew B. Y.","year":"2020","journal-title":"Journal of Consciousness Exploration & Research"},{"key":"e_1_2_14_34_2","volume-title":"The Communication of Emotional Meaning","author":"Beldoch M.","year":"1964"},{"key":"e_1_2_14_35_2","volume-title":"Emotional Intelligence (kursiv)","author":"Goleman D.","year":"2006"},{"key":"e_1_2_14_36_2","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0088-2"},{"key":"e_1_2_14_37_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.newideapsych.2018.12.002"},{"key":"e_1_2_14_38_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34964-6"},{"key":"e_1_2_14_39_2","doi-asserted-by":"crossref","unstructured":"ZadehA. LiangP. P. PoriaS. VijP. CambriaE. andMorencyL. P. Multi-attention recurrent network for human communication comprehension Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence February 2018 New Orleans LA USA.","DOI":"10.1609\/aaai.v32i1.12024"},{"key":"e_1_2_14_40_2","doi-asserted-by":"crossref","unstructured":"NayakG. GhoshR. JiaX. MithalV. andKumarV. Semi-supervised classification using attention-based regularization on coarse-resolution data Proceedings of the 2020 SIAM International Conference on Data Mining May 2020 Cincinnati OH USA 253\u2013261 https:\/\/doi.org\/10.1137\/1.9781611976236.29.","DOI":"10.1137\/1.9781611976236.29"},{"key":"e_1_2_14_41_2","unstructured":"ChaudhariS. PolatkanG. RamanathR. andMithalV. An attentive survey of attention models 2019 https:\/\/arxiv.org\/abs\/1904.02874."},{"key":"e_1_2_14_42_2","unstructured":"GalassiA. LippiM. andTorroniP. Attention in natural language processing 2019 https:\/\/arxiv.org\/abs\/1902.02181."},{"key":"e_1_2_14_43_2","doi-asserted-by":"crossref","unstructured":"EcoffetA. CluneJ. andLehmanJ. Open questions in creating safe open-ended AI: tensions between control and creativity Proceedings of the Artificial Life Conference July 2020 Montr\u00e9al Canada 27\u201335 https:\/\/doi.org\/10.1162\/isal_a_00323.","DOI":"10.1162\/isal_a_00323"},{"key":"e_1_2_14_44_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0004-3702(98)00055-1"},{"key":"e_1_2_14_45_2","doi-asserted-by":"publisher","DOI":"10.1017\/s0140525x16001837"},{"key":"e_1_2_14_46_2","unstructured":"HospedalesT. AntoniouA. MicaelliP. andStorkeyA. Meta-learning in neural networks: a survey 2020 https:\/\/arxiv.org\/abs\/2004.05439."},{"key":"e_1_2_14_47_2","doi-asserted-by":"crossref","unstructured":"LavelleS. The machine with a human face: from artificial intelligence to artificial sentience Proceedings of the International Conference on Advanced Information Systems Engineering June 2020 Grenoble France 63\u201375.","DOI":"10.1007\/978-3-030-49165-9_6"},{"key":"e_1_2_14_48_2","doi-asserted-by":"crossref","unstructured":"RichardsB. A. LillicrapT. P. BeaudoinP.et al. Deep learning framework for neuroscience Nature Neuroscience 22 no. 11 1761\u20131770 https:\/\/doi.org\/10.1038\/s41593-019-0520-2 2-s2.0-85074204909.","DOI":"10.1038\/s41593-019-0520-2"},{"key":"e_1_2_14_49_2","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhx235"},{"key":"e_1_2_14_50_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2988367"},{"key":"e_1_2_14_51_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2797176"},{"key":"e_1_2_14_52_2","doi-asserted-by":"publisher","DOI":"10.4236\/jbise.2014.78061"},{"key":"e_1_2_14_53_2","doi-asserted-by":"crossref","unstructured":"RosenbergL. WillcoxG. AskayD. MetcalfL. andHarrisE. Amplifying the social intelligence of teams through human swarming Proceedings of the 2018 First IEEE International Conference on Artificial Intelligence for Industries (AI4I) September 2018 Laguna Hills CA USA 23\u201326 https:\/\/doi.org\/10.1109\/AI4I.2018.8665698 2-s2.0-85064226248.","DOI":"10.1109\/AI4I.2018.8665698"},{"key":"e_1_2_14_54_2","unstructured":"BengioY. GoodfellowI. andCourvilleA. Deep learning for AI Proceedings of the Invited Talk at AAAI February 2020 New York NY USA."},{"key":"e_1_2_14_55_2","doi-asserted-by":"publisher","DOI":"10.14569\/ijacsa.2020.0110307"},{"key":"e_1_2_14_56_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2019.03.019"},{"key":"e_1_2_14_57_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.intell.2005.07.001"},{"key":"e_1_2_14_58_2","unstructured":"PilletteL. CichockiA. N\u2019KaouaB. andLotteF. Toward distinguishing the different types of attention using EEG signals 2018 https:\/\/hal.inria.fr\/hal-01762978\/document."}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/8893795.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/8893795.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/8893795","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T11:59:36Z","timestamp":1722945576000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/8893795"}},"subtitle":[],"editor":[{"given":"Justin","family":"Dauwels","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":58,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/8893795"],"URL":"https:\/\/doi.org\/10.1155\/2021\/8893795","archive":["Portico"],"relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2020-09-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-12-26","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-02-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"8893795"}}