{"id":"https://openalex.org/W7224103187","doi":"https://doi.org/10.3389/frai.2026.1899109","title":"Cyberlogic-enabled Thinking Space: a closed-loop human-cyber cognitive architecture in CPST","display_name":"Cyberlogic-enabled Thinking Space: a closed-loop human-cyber cognitive architecture in CPST","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224103187","doi":"https://doi.org/10.3389/frai.2026.1899109"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2026.1899109","doi":"https://doi.org/10.3389/frai.2026.1899109","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2026.1899109","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1899109/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1899109/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160002927","display_name":"Ruizi Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizi Chen","raw_affiliation_strings":["School of Computer & Communication Engineering, University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer & Communication Engineering, University of Science and Technology Beijing","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134032496","display_name":"Lei Zhou","orcid":"https://orcid.org/0009-0005-9728-084X","observed_orcids":["https://orcid.org/0009-0005-9728-084X"]},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhou","raw_affiliation_strings":["School of Computer & Communication Engineering, University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer & Communication Engineering, University of Science and Technology Beijing","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160052947","display_name":"Jianguo Ding","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Jianguo Ding","raw_affiliation_strings":["Department of Computer Science, Blekinge Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Blekinge Institute of Technology","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132693594","display_name":"Huansheng Ning","orcid":"https://orcid.org/0000-0001-6413-193X","observed_orcids":["https://orcid.org/0000-0001-6413-193X"]},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huansheng Ning","raw_affiliation_strings":["School of Computer & Communication Engineering, University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer & Communication Engineering, University of Science and Technology Beijing","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5132693594","https://openalex.org/A5160052947"],"corresponding_institution_ids":["https://openalex.org/I52719799","https://openalex.org/I92403157"],"apc_list":{"value":1950,"currency":"CHF","value_usd":2353},"apc_paid":{"value":1950,"currency":"CHF","value_usd":2353},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80744957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14381","display_name":"Psychiatry, Mental Health, Neuroscience","score":0.4514000117778778,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14381","display_name":"Psychiatry, Mental Health, Neuroscience","score":0.4514000117778778,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.19740000367164612,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.08089999854564667,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/human-ai-collaboration","display_name":"human-AI collaboration","score":0.8970000147819519},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"cognitive architecture","score":0.7250000238418579},{"id":"https://openalex.org/keywords/structural-causal-models","display_name":"structural causal models","score":0.7879999876022339},{"id":"https://openalex.org/keywords/evidence-provenance","display_name":"evidence provenance","score":0.781000018119812},{"id":"https://openalex.org/keywords/uncertainty","display_name":"uncertainty","score":0.37599998712539673},{"id":"https://openalex.org/keywords/human-oversight","display_name":"human oversight","score":0.7609999775886536},{"id":"https://openalex.org/keywords/multimodal-representation","display_name":"multimodal representation","score":0.6940000057220459},{"id":"https://openalex.org/keywords/decision-quality","display_name":"decision quality","score":0.39800000190734863},{"id":"https://openalex.org/keywords/health-care","display_name":"health care","score":0.4429999887943268},{"id":"https://openalex.org/keywords/transportation","display_name":"transportation","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.6439999938011169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752000212669373},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.5164999961853027},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.49320000410079956},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4812999963760376},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.4772000014781952},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39340001344680786},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.39259999990463257},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3707999885082245},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.34130001068115234},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.3215999901294708},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29750001430511475},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.27959999442100525},{"id":"https://openalex.org/C14224292","wikidata":"https://www.wikidata.org/wiki/Q13600188","display_name":"Conceptual framework","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3389/frai.2026.1899109","doi":"https://doi.org/10.3389/frai.2026.1899109","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2026.1899109","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1899109/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a7db0e8fe2ac4adaafe3da2bde351074","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/a7db0e8fe2ac4adaafe3da2bde351074","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Artificial Intelligence, Vol 9 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frai.2026.1899109","doi":"https://doi.org/10.3389/frai.2026.1899109","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2026.1899109","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1899109/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224103187.pdf","grobid_xml":"https://content.openalex.org/works/W7224103187.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W138096884","https://openalex.org/W611103097","https://openalex.org/W1157343470","https://openalex.org/W1974371581","https://openalex.org/W2043787485","https://openalex.org/W2049607195","https://openalex.org/W2145339207","https://openalex.org/W2148764920","https://openalex.org/W2169866873","https://openalex.org/W2257979135","https://openalex.org/W2328078142","https://openalex.org/W2522009427","https://openalex.org/W2557671501","https://openalex.org/W2581082771","https://openalex.org/W2587256721","https://openalex.org/W2619383789","https://openalex.org/W2783740028","https://openalex.org/W2790930884","https://openalex.org/W2892018721","https://openalex.org/W2902634493","https://openalex.org/W2908201961","https://openalex.org/W2909338255","https://openalex.org/W2911978475","https://openalex.org/W2912501419","https://openalex.org/W2916904544","https://openalex.org/W2945976633","https://openalex.org/W2949263306","https://openalex.org/W2963341956","https://openalex.org/W2982945468","https://openalex.org/W3010336026","https://openalex.org/W3013160799","https://openalex.org/W3016970897","https://openalex.org/W3088586141","https://openalex.org/W3099293728","https://openalex.org/W3119628700","https://openalex.org/W3133702157","https://openalex.org/W3159096324","https://openalex.org/W3161143221","https://openalex.org/W3167195439","https://openalex.org/W4211017739","https://openalex.org/W4282829778","https://openalex.org/W4287552728","https://openalex.org/W4294243134","https://openalex.org/W4299687421","https://openalex.org/W4306790271","https://openalex.org/W4309674289","https://openalex.org/W4312871381","https://openalex.org/W4360836968","https://openalex.org/W4362597259","https://openalex.org/W4365143687","https://openalex.org/W4367055910","https://openalex.org/W4377982165","https://openalex.org/W4386091044","https://openalex.org/W4388224802","https://openalex.org/W4388691863","https://openalex.org/W4395049441","https://openalex.org/W4399301198","https://openalex.org/W4399450035","https://openalex.org/W4400879250","https://openalex.org/W4401207453","https://openalex.org/W4401879161","https://openalex.org/W4402713326","https://openalex.org/W4402773028","https://openalex.org/W4402829168","https://openalex.org/W4403637376","https://openalex.org/W4403839497","https://openalex.org/W4405546422","https://openalex.org/W4407076605","https://openalex.org/W4411401808","https://openalex.org/W4414110320","https://openalex.org/W4417113001","https://openalex.org/W7133216625","https://openalex.org/W7133228402"],"related_works":["https://openalex.org/W7139984205","https://openalex.org/W3165472542","https://openalex.org/W7196940203","https://openalex.org/W7214177257","https://openalex.org/W7119026812","https://openalex.org/W4386800118","https://openalex.org/W7169617155","https://openalex.org/W4386981955","https://openalex.org/W7115182962","https://openalex.org/W1498632787"],"abstract_inverted_index":{"Human\u2013AI":[0],"collaboration":[1],"in":[2],"Cyber\u2013Physical\u2013Social\u2013Thinking":[3],"(CPST)":[4],"environments":[5],"requires":[6,86],"coordination":[7],"among":[8],"perception,":[9],"reasoning,":[10,41],"human":[11,132],"judgment,":[12],"and":[13,31,44,62,82,85,92,109,114,134,147,158,163,182],"governance.":[14],"This":[15],"paper":[16],"proposes":[17],"Cyberlogic-enabled":[18],"Thinking":[19],"Space":[20],"(CyTS),":[21],"a":[22,55,183,189],"conceptual":[23],"governance-centric":[24],"architecture":[25],"organized":[26],"through":[27],"Entity,":[28],"Mapping,":[29],"Reasoning,":[30],"Governance":[32,127],"layers.":[33],"Its":[34],"closed":[35],"loop":[36],"connects":[37],"multimodal":[38],"representation,":[39],"heterogeneous":[40],"collaborative":[42],"decisions,":[43],"controlled":[45],"adaptation.":[46],"The":[47],"Entity":[48],"layer":[49],"provides":[50],"operational":[51],"descriptions":[52],"rather":[53],"than":[54],"sufficient":[56],"ontology":[57],"of":[58,73,192],"cognition;":[59],"logical":[60],"consistency":[61],"predictive":[63],"accuracy":[64],"do":[65,171],"not":[66,172],"by":[67],"themselves":[68],"establish":[69],"the":[70,167],"causal":[71,99,107,151],"validity":[72],"an":[74,178],"action.":[75],"CyTS":[76,176],"therefore":[77],"distinguishes":[78],"associative,":[79],"deductive,":[80],"interventional,":[81],"exploratory":[83],"claims":[84],"explicit":[87],"assumptions,":[88],"evidence":[89,140],"provenance,":[90],"uncertainty,":[91],"verification":[93],"status":[94],"at":[95],"component":[96],"interfaces.":[97],"Structural":[98],"models":[100],"provide":[101],"one":[102],"implementable":[103],"route,":[104],"while":[105],"equilibrium-based":[106],"logic":[108],"proposals":[110],"concerning":[111],"brain\u2013universe":[112],"similarity":[113],"entangled":[115],"machine":[116],"thinking":[117],"are":[118,143],"examined":[119],"as":[120],"research":[121],"perspectives":[122],"with":[123],"separate":[124],"validation":[125],"requirements.":[126],"mechanisms":[128],"support":[129],"privacy,":[130],"accountability,":[131],"oversight,":[133],"runtime":[135],"monitoring,":[136],"including":[137],"abstention":[138],"when":[139],"or":[141,194],"constraints":[142],"insufficient.":[144],"Research":[145],"hypotheses":[146],"evaluation":[148],"protocols":[149],"address":[150],"transparency,":[152],"decision":[153],"quality,":[154],"adaptation,":[155],"cross-space":[156],"coordination,":[157],"energy":[159],"cost.":[160],"Healthcare,":[161],"education,":[162],"transportation":[164],"scenarios":[165],"illustrate":[166],"proposed":[168],"workflow;":[169],"they":[170],"constitute":[173],"empirical":[174],"validation.":[175],"contributes":[177],"auditable":[179],"organizational":[180],"framework":[181],"testable":[184],"implementation":[185],"agenda,":[186],"without":[187],"claiming":[188],"completed":[190],"theory":[191],"cognition":[193],"demonstrated":[195],"performance":[196],"gains.":[197]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-29T00:00:00"}