Quantum-inspired modeling of social impact in complex networks with artificial intelligent agents
We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial intelligence agents (AIAs) that interact with each other. Each NIA – AIA pair represents a user and their digital assistant – an avatar imple...
Saved in:
| Published in: | Scientific reports Vol. 15; no. 1; pp. 35052 - 22 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Nature Publishing Group UK
08.10.2025
Nature Publishing Group Nature Portfolio |
| Subjects: | |
| ISSN: | 2045-2322, 2045-2322 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial intelligence agents (AIAs) that interact with each other. Each NIA – AIA pair represents a user and their digital assistant – an avatar implemented as an agent based on a large language model (LLM). The AIAs are interconnected through a complex, scale-free network and communicate with users and one another in real time. We focus on the social impact and evolution of users’ emotional states, which we model as simple, two-level cognitive systems shaped by interactions with AIAs and external information sources. Within this framework, the AIAs adiabatically follow the NIAs, mediating emotional influence by disseminating information and propagating user emotions throughout the system. Building on Mehrabian’s Pleasure–Arousal–Dominance (PAD) model and Wundt’s three-dimensional theory of emotions, we put forward a quantum-like representation of affective states on an emotional sphere. We demonstrate that the arousal component is governed by the interplay between external informational inputs and individual personality traits. This leads to the emergence of limiting cycles in emotional dynamics. Assuming weak AIA – AIA coupling, we identify two distinct regimes of affective behavior. In the first regime, coherent NIA – AIA interaction supports emotional heterogeneity and individual differentiation across the network. In the second regime, shared exposure to external information drives synchronized emotional responses, resulting in a macroscopic affective field that captures collective emotional dynamics. Furthermore, we demonstrate that the network’s structural properties, particularly node degree correlations, play a role analogous to quantum correlations in ensembles of two-level physical systems; a quantum-like superradiant state corresponds to the network-induced collective emotional activation of NIAs within a DIS. These findings advance our understanding of affective dynamics and emergent social phenomena in hybrid human–AI ecosystems. |
|---|---|
| AbstractList | Abstract We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial intelligence agents (AIAs) that interact with each other. Each NIA – AIA pair represents a user and their digital assistant – an avatar implemented as an agent based on a large language model (LLM). The AIAs are interconnected through a complex, scale-free network and communicate with users and one another in real time. We focus on the social impact and evolution of users’ emotional states, which we model as simple, two-level cognitive systems shaped by interactions with AIAs and external information sources. Within this framework, the AIAs adiabatically follow the NIAs, mediating emotional influence by disseminating information and propagating user emotions throughout the system. Building on Mehrabian’s Pleasure–Arousal–Dominance (PAD) model and Wundt’s three-dimensional theory of emotions, we put forward a quantum-like representation of affective states on an emotional sphere. We demonstrate that the arousal component is governed by the interplay between external informational inputs and individual personality traits. This leads to the emergence of limiting cycles in emotional dynamics. Assuming weak AIA – AIA coupling, we identify two distinct regimes of affective behavior. In the first regime, coherent NIA – AIA interaction supports emotional heterogeneity and individual differentiation across the network. In the second regime, shared exposure to external information drives synchronized emotional responses, resulting in a macroscopic affective field that captures collective emotional dynamics. Furthermore, we demonstrate that the network’s structural properties, particularly node degree correlations, play a role analogous to quantum correlations in ensembles of two-level physical systems; a quantum-like superradiant state corresponds to the network-induced collective emotional activation of NIAs within a DIS. These findings advance our understanding of affective dynamics and emergent social phenomena in hybrid human–AI ecosystems. We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial intelligence agents (AIAs) that interact with each other. Each NIA - AIA pair represents a user and their digital assistant - an avatar implemented as an agent based on a large language model (LLM). The AIAs are interconnected through a complex, scale-free network and communicate with users and one another in real time. We focus on the social impact and evolution of users' emotional states, which we model as simple, two-level cognitive systems shaped by interactions with AIAs and external information sources. Within this framework, the AIAs adiabatically follow the NIAs, mediating emotional influence by disseminating information and propagating user emotions throughout the system. Building on Mehrabian's Pleasure-Arousal-Dominance (PAD) model and Wundt's three-dimensional theory of emotions, we put forward a quantum-like representation of affective states on an emotional sphere. We demonstrate that the arousal component is governed by the interplay between external informational inputs and individual personality traits. This leads to the emergence of limiting cycles in emotional dynamics. Assuming weak AIA - AIA coupling, we identify two distinct regimes of affective behavior. In the first regime, coherent NIA - AIA interaction supports emotional heterogeneity and individual differentiation across the network. In the second regime, shared exposure to external information drives synchronized emotional responses, resulting in a macroscopic affective field that captures collective emotional dynamics. Furthermore, we demonstrate that the network's structural properties, particularly node degree correlations, play a role analogous to quantum correlations in ensembles of two-level physical systems; a quantum-like superradiant state corresponds to the network-induced collective emotional activation of NIAs within a DIS. These findings advance our understanding of affective dynamics and emergent social phenomena in hybrid human-AI ecosystems. We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial intelligence agents (AIAs) that interact with each other. Each NIA - AIA pair represents a user and their digital assistant - an avatar implemented as an agent based on a large language model (LLM). The AIAs are interconnected through a complex, scale-free network and communicate with users and one another in real time. We focus on the social impact and evolution of users' emotional states, which we model as simple, two-level cognitive systems shaped by interactions with AIAs and external information sources. Within this framework, the AIAs adiabatically follow the NIAs, mediating emotional influence by disseminating information and propagating user emotions throughout the system. Building on Mehrabian's Pleasure-Arousal-Dominance (PAD) model and Wundt's three-dimensional theory of emotions, we put forward a quantum-like representation of affective states on an emotional sphere. We demonstrate that the arousal component is governed by the interplay between external informational inputs and individual personality traits. This leads to the emergence of limiting cycles in emotional dynamics. Assuming weak AIA - AIA coupling, we identify two distinct regimes of affective behavior. In the first regime, coherent NIA - AIA interaction supports emotional heterogeneity and individual differentiation across the network. In the second regime, shared exposure to external information drives synchronized emotional responses, resulting in a macroscopic affective field that captures collective emotional dynamics. Furthermore, we demonstrate that the network's structural properties, particularly node degree correlations, play a role analogous to quantum correlations in ensembles of two-level physical systems; a quantum-like superradiant state corresponds to the network-induced collective emotional activation of NIAs within a DIS. These findings advance our understanding of affective dynamics and emergent social phenomena in hybrid human-AI ecosystems.We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial intelligence agents (AIAs) that interact with each other. Each NIA - AIA pair represents a user and their digital assistant - an avatar implemented as an agent based on a large language model (LLM). The AIAs are interconnected through a complex, scale-free network and communicate with users and one another in real time. We focus on the social impact and evolution of users' emotional states, which we model as simple, two-level cognitive systems shaped by interactions with AIAs and external information sources. Within this framework, the AIAs adiabatically follow the NIAs, mediating emotional influence by disseminating information and propagating user emotions throughout the system. Building on Mehrabian's Pleasure-Arousal-Dominance (PAD) model and Wundt's three-dimensional theory of emotions, we put forward a quantum-like representation of affective states on an emotional sphere. We demonstrate that the arousal component is governed by the interplay between external informational inputs and individual personality traits. This leads to the emergence of limiting cycles in emotional dynamics. Assuming weak AIA - AIA coupling, we identify two distinct regimes of affective behavior. In the first regime, coherent NIA - AIA interaction supports emotional heterogeneity and individual differentiation across the network. In the second regime, shared exposure to external information drives synchronized emotional responses, resulting in a macroscopic affective field that captures collective emotional dynamics. Furthermore, we demonstrate that the network's structural properties, particularly node degree correlations, play a role analogous to quantum correlations in ensembles of two-level physical systems; a quantum-like superradiant state corresponds to the network-induced collective emotional activation of NIAs within a DIS. These findings advance our understanding of affective dynamics and emergent social phenomena in hybrid human-AI ecosystems. |
| ArticleNumber | 35052 |
| Author | Boukhanovsky, A. V. Khrennikov, A. Yu Zakharenko, P. V. Tsarev, D. V. Alodjants, A. P. |
| Author_xml | – sequence: 1 givenname: A. P. surname: Alodjants fullname: Alodjants, A. P. organization: ITMO University – sequence: 2 givenname: D. V. surname: Tsarev fullname: Tsarev, D. V. organization: ITMO University – sequence: 3 givenname: P. V. surname: Zakharenko fullname: Zakharenko, P. V. organization: ITMO University – sequence: 4 givenname: A. Yu surname: Khrennikov fullname: Khrennikov, A. Yu email: andrei.khrennikov@lnu.se organization: International Center for Mathematical Modeling in Physics, Engineering, Economics, and Cognitive Science Linnaeus University – sequence: 5 givenname: A. V. surname: Boukhanovsky fullname: Boukhanovsky, A. V. organization: ITMO University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/41062792$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-142081$$DView record from Swedish Publication Index (Linnéuniversitetet) |
| BookMark | eNp9kktv1DAQxyNUREvpF-CAInHhEvA7zrEqr0qVEBJwtSbOZPGS2MFOtOy3x7tZyuOALfml3_zn4XlcnPngsSieUvKSEq5fJUFloyvCZMWYJLraPyguGBH5yhk7--N8XlyltCV5SNYI2jwqzgUlitUNuyjg4wJ-XsbK-TS5iF05hg4H5zdl6MsUrIOhdOMEdi6dL20YpwF_lB7nXYjfUrlz89cS4ux6t6J-xmFwG_RzCYc1PSke9jAkvDrtl8Xnt28-3byv7j68u725vqusqNVccQKWdZJCwyVtBahWaOyhVXlqZbHnILFDRqFvAJTSNdeCdth0SnYELb8sblfdLsDWTNGNEPcmgDPHhxA35hCnHdAQ1ndW9FQBCKGUBKhribbhnFmmWZu1qlUr7XBa2r_UXrsv10e1wS-GCkY0zfyLlZ9i-L5gms3oks2FAI9hSYYz2ZA6O5EZff4Pug1L9LkyB0prrmtNMvXsRC3tiN19AL8-LgNsBWwMKUXs7xFKzKFBzNogOVdpjg1i9tmIn9LKsN9g_O37P1Y_AS9Bvq4 |
| Cites_doi | 10.1037/h0077714 10.1080/09500349908231279 10.1080/13511610.2018.1497480 10.1016/j.physrep.2011.08.003 10.1017/CBO9780511997716 10.1098/rsif.2012.0819 10.1007/978-3-663-01511-6_24 10.1017/CBO9781139644181 10.1007/s42087-020-00158-y 10.1143/PTPS.79.223 10.1109/ACII63134.2024.00029 10.1016/B978-0-12-558701-3.50007-7 10.1103/PhysRevE.80.051127 10.1038/srep00400 10.1007/978-981-10-5385-6 10.1103/RevModPhys.87.925 10.1016/j.techsoc.2022.101902 10.1080/09515080903153634 10.1016/0370-1573(82)90102-8 10.1093/poq/nfz003 10.1007/978-3-031-76770-8 10.1038/s41598-019-54296-7 10.1016/j.physrep.2008.09.002 10.1140/epjb/e2010-00292-1 10.1007/s12144-014-9219-4 10.1037/10538-000 10.1007/978-3-642-05101-2 10.1017/CBO9780511976735 10.1103/RevModPhys.77.137 10.1007/s44336-024-00005-6 10.1145/3578931 10.1007/s11071-024-10100-4 10.1038/s41598-024-65684-z 10.3390/psych5040081 10.1007/978-3-319-43639-5 10.1103/PhysRevE.91.032814 10.1093/oso/9780198566724.001.0001 10.1007/s10462-018-9646-y 10.1007/s10699-020-09712-x 10.1103/RevModPhys.80.1275 10.1016/j.physrep.2015.10.008 10.1007/s11071-024-09625-5 10.1007/978-3-319-77332-2 10.1371/journal.pone.0159301 10.1088/2040-8986/ad261f 10.1038/srep12197 10.1016/j.jss.2024.112278 10.2307/2574650 10.1016/B978-0-44-340553-2.00007-1 10.11621/pir.2024.0206 10.1103/PRXQuantum.3.010201 10.1016/S1049-250X(05)52003-2 10.1109/TSMC.2017.2659759 10.1103/PhysRevA.2.1170 10.1017/CBO9780511549755 10.1140/epjst/e2018-800027-6 10.1016/bs.po.2022.01.001 10.5488/CMP.17.33801 10.1088/1742-5468/2013/10/P10014 10.1016/j.physrep.2014.07.001 10.1145/3173574.3173938 10.1007/978-3-319-40803-3 10.1017/CBO9781139644167 10.2139/ssrn.4607026 10.1098/rsta.2015.0094 10.1177/14614448211044393 10.1364/JOSAB.2.000458 10.3390/e22121437 10.1007/978-3-662-04103-1 10.3390/fi16070219 10.3390/e15125084 10.1140/epjst/e2015-50319-0 10.1017/9781316677452.006 10.1007/978-1-4615-3226-2_7 10.1142/q0080 10.1086/218177 10.1103/PhysRevE.71.036151 10.1038/nature10920 10.1126/science.1133755 10.4324/9780203013441 10.1371/journal.pone.0154655 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2025 2025. The Author(s). The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2025 – notice: 2025. The Author(s). – notice: The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION NPM 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 ADTPV AGRUY AOWAS D8T D92 ZZAVC DOA |
| DOI | 10.1038/s41598-025-22508-y |
| DatabaseName | Springer Nature OA Free Journals CrossRef PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium ProQuest Health & Medical Complete (Alumni) Biological Sciences Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic SwePub SWEPUB Linnéuniversitetet full text SwePub Articles SWEPUB Freely available online SWEPUB Linnéuniversitetet SwePub Articles full text Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef MEDLINE - Academic PubMed Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Open Access Full Text url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: ProQuest Publicly Available Content url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 22 |
| ExternalDocumentID | oai_doaj_org_article_02fdc4f16aa44665aa775ec9332c282b oai_DiVA_org_lnu_142081 41062792 10_1038_s41598_025_22508_y |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: Linnaeus University |
| GroupedDBID | 0R~ 4.4 53G 5VS 7X7 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD AASML ABDBF ABUWG ACGFS ACUHS ADBBV ADRAZ AENEX AEUYN AFKRA AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M1P M2P M7P M~E NAO OK1 PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO RNT RNTTT RPM SNYQT UKHRP AAYXX AFFHD CITATION NPM 3V. 7XB 88A 8FK K9. M48 PKEHL PQEST PQUKI PRINS Q9U 7X8 ADTPV AGRUY AOWAS D8T D92 EJD IPNFZ RIG ZZAVC |
| ID | FETCH-LOGICAL-c476t-30ac2d51a9351b4a6b48efab6b6b86cef3a5ede21af9aa66873841de9d65d0ec3 |
| IEDL.DBID | M7P |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001591003300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2045-2322 |
| IngestDate | Mon Oct 13 19:21:35 EDT 2025 Wed Nov 05 04:13:29 EST 2025 Thu Oct 09 19:00:36 EDT 2025 Thu Oct 09 10:10:41 EDT 2025 Sun Oct 12 01:41:04 EDT 2025 Sat Nov 29 07:17:51 EST 2025 Thu Oct 09 01:10:18 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | 2025. The Author(s). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c476t-30ac2d51a9351b4a6b48efab6b6b86cef3a5ede21af9aa66873841de9d65d0ec3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://www.proquest.com/docview/3258838780?pq-origsite=%requestingapplication% |
| PMID | 41062792 |
| PQID | 3258838780 |
| PQPubID | 2041939 |
| PageCount | 22 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_02fdc4f16aa44665aa775ec9332c282b swepub_primary_oai_DiVA_org_lnu_142081 proquest_miscellaneous_3259077755 proquest_journals_3258838780 pubmed_primary_41062792 crossref_primary_10_1038_s41598_025_22508_y springer_journals_10_1038_s41598_025_22508_y |
| PublicationCentury | 2000 |
| PublicationDate | 2025-10-08 |
| PublicationDateYYYYMMDD | 2025-10-08 |
| PublicationDate_xml | – month: 10 year: 2025 text: 2025-10-08 day: 08 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationTitleAlternate | Sci Rep |
| PublicationYear | 2025 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | 22508_CR40 22508_CR42 22508_CR5 22508_CR7 22508_CR1 22508_CR3 J Albright (22508_CR68) 2018 22508_CR44 22508_CR46 22508_CR47 A Khrennikov (22508_CR73) 2016; 374 F Heylighen (22508_CR6) 2021; 8 I Surov (22508_CR58) 2021; 26 A Alodjants (22508_CR28) 2022; 12 M Gross (22508_CR41) 1982; 93 J Ma (22508_CR81) 2011; 509 M Fox (22508_CR76) 2006 22508_CR32 I Bakker (22508_CR55) 2014; 33 22508_CR33 B Chopard (22508_CR48) 1998 22508_CR34 22508_CR35 22508_CR37 S Yoon (22508_CR104) 2015; 91 F Schweitzer (22508_CR49) 2010; 77 M Nowak (22508_CR71) 2006; 314 S Weinberg (22508_CR61) 1995 S Boccaletti (22508_CR91) 2014; 544 22508_CR21 22508_CR23 A Alodjants (22508_CR75) 1999; 46 22508_CR25 22508_CR26 K Wilkinson (22508_CR62) 1970; 48 22508_CR27 P-Y Chen (22508_CR8) 2025 E Deli (22508_CR77) 2023; 5 22508_CR92 K Wodkiewicz (22508_CR80) 1985; 2 22508_CR93 M Šuvakov (22508_CR43) 2013; 10 S Galam (22508_CR36) 2021 V Man’ko (22508_CR82) 1997; 85 22508_CR97 A Bessi (22508_CR84) 2016; 225 A Flache (22508_CR85) 2017; 6 J Russell (22508_CR45) 1980; 39 22508_CR10 22508_CR98 W Li (22508_CR95) 2024; 112 22508_CR13 22508_CR14 22508_CR15 V DeGiorgio (22508_CR99) 1970; 2 22508_CR17 22508_CR83 22508_CR86 A Alodjants (22508_CR30) 2024; 14 R Pastor-Satorras (22508_CR38) 2015; 87 22508_CR100 X Wang (22508_CR16) 2023; 17 22508_CR102 22508_CR88 22508_CR89 A Mehrabian (22508_CR56) 1974; 38 SN Dorogovtsev (22508_CR39) 2008; 80 22508_CR70 FA Rodrigues (22508_CR101) 2016; 610 J Bohnet (22508_CR74) 2012; 484 22508_CR78 22508_CR79 A Khrennikov (22508_CR72) 2019; 227 W James (22508_CR65) 1890 A-L Barabási (22508_CR20) 2016 I Kotseruba (22508_CR4) 2020; 53 R Diriwächter (22508_CR57) 2021; 4 22508_CR60 M Nordbrandt (22508_CR2) 2023; 25 V Guleva (22508_CR29) 2020; 22 M Reitz (22508_CR96) 2022; 3 P Bourdieu (22508_CR67) 1993 K Wangsa (22508_CR11) 2024; 16 A Allahverdyan (22508_CR19) 2016; 11 S Ansarinasab (22508_CR94) 2024; 112 C Summerfield (22508_CR9) 2025 G Vzorin (22508_CR18) 2024; 17 D Tsarev (22508_CR31) 2019; 9 DN Kluttz (22508_CR69) 2016 22508_CR50 22508_CR51 22508_CR52 22508_CR53 W He (22508_CR90) 2017; 47 A Arenas (22508_CR22) 2008; 469 P Commendatore (22508_CR24) 2016 J Druckman (22508_CR87) 2019; 83 X Li (22508_CR12) 2024; 1 22508_CR54 H Haken (22508_CR63) 1985 Y Kuramoto (22508_CR103) 1984; 79 E Agrell (22508_CR64) 2024; 26 22508_CR59 K Lewin (22508_CR66) 1939; 44 |
| References_xml | – volume: 39 start-page: 1161 year: 1980 ident: 22508_CR45 publication-title: J. Pers. Soc. Psychol. doi: 10.1037/h0077714 – volume: 38 start-page: 286 year: 1974 ident: 22508_CR56 publication-title: J. Pers. Soc. Psychol. – volume: 46 start-page: 475 year: 1999 ident: 22508_CR75 publication-title: J. Mod. Opt. doi: 10.1080/09500349908231279 – ident: 22508_CR88 doi: 10.1080/13511610.2018.1497480 – volume: 509 start-page: 89 year: 2011 ident: 22508_CR81 publication-title: Phys. Reports doi: 10.1016/j.physrep.2011.08.003 – ident: 22508_CR35 doi: 10.1017/CBO9780511997716 – volume: 10 start-page: 20120819 year: 2013 ident: 22508_CR43 publication-title: Journal of the Royal Society Interface doi: 10.1098/rsif.2012.0819 – ident: 22508_CR70 doi: 10.1007/978-3-663-01511-6_24 – volume-title: Laser light dynamics year: 1985 ident: 22508_CR63 – ident: 22508_CR60 doi: 10.1017/CBO9781139644181 – volume: 4 start-page: 5 year: 2021 ident: 22508_CR57 publication-title: Hu Arenas doi: 10.1007/s42087-020-00158-y – volume: 79 start-page: 223 year: 1984 ident: 22508_CR103 publication-title: Prog. Theor. Phys. Suppl. doi: 10.1143/PTPS.79.223 – ident: 22508_CR10 – ident: 22508_CR17 doi: 10.1109/ACII63134.2024.00029 – ident: 22508_CR46 doi: 10.1016/B978-0-12-558701-3.50007-7 – ident: 22508_CR98 doi: 10.1103/PhysRevE.80.051127 – volume-title: Sociophysics: a physicist’s modeling of psycho-political phenomena year: 2021 ident: 22508_CR36 – ident: 22508_CR27 – ident: 22508_CR33 doi: 10.1038/srep00400 – volume-title: Bourdieu’s Field Theory and the Social Sciences year: 2018 ident: 22508_CR68 doi: 10.1007/978-981-10-5385-6 – volume: 87 start-page: 925 year: 2015 ident: 22508_CR38 publication-title: Rev. Mod. Phys. doi: 10.1103/RevModPhys.87.925 – ident: 22508_CR86 doi: 10.1016/j.techsoc.2022.101902 – ident: 22508_CR78 doi: 10.1080/09515080903153634 – volume: 93 start-page: 301 year: 1982 ident: 22508_CR41 publication-title: Phys. Rept. doi: 10.1016/0370-1573(82)90102-8 – volume: 83 start-page: 114 year: 2019 ident: 22508_CR87 publication-title: Public Opin. Q. doi: 10.1093/poq/nfz003 – volume-title: Introduction to Foundation Models year: 2025 ident: 22508_CR8 doi: 10.1007/978-3-031-76770-8 – ident: 22508_CR59 – ident: 22508_CR13 – volume: 8 start-page: 136 year: 2021 ident: 22508_CR6 publication-title: The Futur. Inf. Soc. World Sci. Ser. Inf. Stud. – volume: 9 start-page: 1 year: 2019 ident: 22508_CR31 publication-title: Scientific Reports doi: 10.1038/s41598-019-54296-7 – volume: 469 start-page: 93 year: 2008 ident: 22508_CR22 publication-title: Phys. Reports doi: 10.1016/j.physrep.2008.09.002 – volume: 77 start-page: 533 year: 2010 ident: 22508_CR49 publication-title: Eur. Phys. J. B doi: 10.1140/epjb/e2010-00292-1 – volume: 33 start-page: 405 year: 2014 ident: 22508_CR55 publication-title: Curr Psychol doi: 10.1007/s12144-014-9219-4 – volume-title: The principles of psychology, in two volumes year: 1890 ident: 22508_CR65 doi: 10.1037/10538-000 – ident: 22508_CR34 doi: 10.1007/978-3-642-05101-2 – ident: 22508_CR23 doi: 10.1017/CBO9780511976735 – ident: 22508_CR102 doi: 10.1103/RevModPhys.77.137 – volume: 1 start-page: 1 year: 2024 ident: 22508_CR12 publication-title: Vicinagearth doi: 10.1007/s44336-024-00005-6 – ident: 22508_CR93 doi: 10.1145/3578931 – volume: 112 start-page: 20339 year: 2024 ident: 22508_CR95 publication-title: Nonlinear Dyn. doi: 10.1007/s11071-024-10100-4 – volume: 14 start-page: 15438 year: 2024 ident: 22508_CR30 publication-title: Sci Rep doi: 10.1038/s41598-024-65684-z – volume: 5 start-page: 1224 year: 2023 ident: 22508_CR77 publication-title: Psych doi: 10.3390/psych5040081 – ident: 22508_CR47 doi: 10.1007/978-3-319-43639-5 – volume: 91 year: 2015 ident: 22508_CR104 publication-title: Phys. Rev. E doi: 10.1103/PhysRevE.91.032814 – volume-title: Quantum Optics year: 2006 ident: 22508_CR76 doi: 10.1093/oso/9780198566724.001.0001 – volume: 53 start-page: 17 year: 2020 ident: 22508_CR4 publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-018-9646-y – volume: 26 start-page: 947 year: 2021 ident: 22508_CR58 publication-title: Foundations Sci. doi: 10.1007/s10699-020-09712-x – volume: 80 start-page: 1275 year: 2008 ident: 22508_CR39 publication-title: Rev. Mod. Phys. doi: 10.1103/RevModPhys.80.1275 – volume: 610 start-page: 1 year: 2016 ident: 22508_CR101 publication-title: Phys. Reports doi: 10.1016/j.physrep.2015.10.008 – volume: 112 start-page: 10465 year: 2024 ident: 22508_CR94 publication-title: Nonlinear Dyn. doi: 10.1007/s11071-024-09625-5 – volume: 85 start-page: 430 year: 1997 ident: 22508_CR82 publication-title: Spin state tomography. JETP – ident: 22508_CR25 doi: 10.1007/978-3-319-77332-2 – volume-title: These Strange New Minds: How AI Learned to Talk and What It Means year: 2025 ident: 22508_CR9 – volume: 11 year: 2016 ident: 22508_CR19 publication-title: PLoS ONE doi: 10.1371/journal.pone.0159301 – volume: 26 year: 2024 ident: 22508_CR64 publication-title: Journal of Optics doi: 10.1088/2040-8986/ad261f – volume: 6 start-page: 20 year: 2017 ident: 22508_CR85 publication-title: J. Artif. Soc. Soc. Simul. – ident: 22508_CR52 doi: 10.1038/srep12197 – ident: 22508_CR5 doi: 10.1016/j.jss.2024.112278 – volume: 48 start-page: 311 year: 1970 ident: 22508_CR62 publication-title: Social Forces doi: 10.2307/2574650 – ident: 22508_CR40 – ident: 22508_CR7 doi: 10.1016/B978-0-44-340553-2.00007-1 – volume: 17 start-page: 85 year: 2024 ident: 22508_CR18 publication-title: Psychol Russ. doi: 10.11621/pir.2024.0206 – volume: 3 year: 2022 ident: 22508_CR96 publication-title: PRX Quantum doi: 10.1103/PRXQuantum.3.010201 – ident: 22508_CR37 – ident: 22508_CR14 – ident: 22508_CR83 doi: 10.1016/S1049-250X(05)52003-2 – volume: 47 start-page: 1655 year: 2017 ident: 22508_CR90 publication-title: IEEE Transactions on Syst. Man, Cybern. Syst. doi: 10.1109/TSMC.2017.2659759 – volume-title: Sociology of Politics year: 1993 ident: 22508_CR67 – volume: 2 start-page: 1170 year: 1970 ident: 22508_CR99 publication-title: Phys. Rev. A doi: 10.1103/PhysRevA.2.1170 – volume-title: Cellular Automata Modeling of Physical Systems year: 1998 ident: 22508_CR48 doi: 10.1017/CBO9780511549755 – volume: 17 start-page: 1 year: 2023 ident: 22508_CR16 publication-title: J. Pac. Rim Psychol. – volume: 227 start-page: 2133 year: 2019 ident: 22508_CR72 publication-title: The Eur. Phys. J. Special Top. doi: 10.1140/epjst/e2018-800027-6 – ident: 22508_CR79 doi: 10.1016/bs.po.2022.01.001 – ident: 22508_CR51 doi: 10.5488/CMP.17.33801 – ident: 22508_CR42 doi: 10.1088/1742-5468/2013/10/P10014 – volume: 544 start-page: 1 year: 2014 ident: 22508_CR91 publication-title: Phys. Reports doi: 10.1016/j.physrep.2014.07.001 – ident: 22508_CR97 – ident: 22508_CR54 doi: 10.1145/3173574.3173938 – volume-title: Complex Networks and Dynamics year: 2016 ident: 22508_CR24 doi: 10.1007/978-3-319-40803-3 – volume-title: The Quantum Theory of Fields year: 1995 ident: 22508_CR61 doi: 10.1017/CBO9781139644167 – ident: 22508_CR50 doi: 10.2139/ssrn.4607026 – volume: 374 start-page: 20150094 year: 2016 ident: 22508_CR73 publication-title: Philos. Transactions Royal Soc. A: Math. Phys. Eng. Sci. doi: 10.1098/rsta.2015.0094 – ident: 22508_CR26 – volume: 25 start-page: 3392 year: 2023 ident: 22508_CR2 publication-title: New Media & Soc. doi: 10.1177/14614448211044393 – volume-title: Network Science year: 2016 ident: 22508_CR20 – volume: 2 start-page: 458 year: 1985 ident: 22508_CR80 publication-title: J. Opt. Soc. Am. B doi: 10.1364/JOSAB.2.000458 – volume-title: Varieties of Sociological Field Theory, 185–204 year: 2016 ident: 22508_CR69 – volume: 22 start-page: 1437 year: 2020 ident: 22508_CR29 publication-title: Entropy doi: 10.3390/e22121437 – ident: 22508_CR92 doi: 10.1007/978-3-662-04103-1 – volume: 16 start-page: 219 year: 2024 ident: 22508_CR11 publication-title: Futur. Internet doi: 10.3390/fi16070219 – volume: 12 start-page: 8566 year: 2022 ident: 22508_CR28 publication-title: Sci. Reports – ident: 22508_CR3 doi: 10.3390/e15125084 – volume: 225 start-page: 2047 year: 2016 ident: 22508_CR84 publication-title: The Eur. Phys. J. Special Top. doi: 10.1140/epjst/e2015-50319-0 – ident: 22508_CR1 doi: 10.1017/9781316677452.006 – ident: 22508_CR21 – ident: 22508_CR32 doi: 10.1007/978-1-4615-3226-2_7 – ident: 22508_CR89 doi: 10.1142/q0080 – volume: 44 start-page: 868 year: 1939 ident: 22508_CR66 publication-title: American Journal of Sociology doi: 10.1086/218177 – ident: 22508_CR100 doi: 10.1103/PhysRevE.71.036151 – volume: 484 start-page: 78 year: 2012 ident: 22508_CR74 publication-title: Nature doi: 10.1038/nature10920 – volume: 314 start-page: 1560 year: 2006 ident: 22508_CR71 publication-title: Science doi: 10.1126/science.1133755 – ident: 22508_CR44 doi: 10.4324/9780203013441 – ident: 22508_CR53 doi: 10.1371/journal.pone.0154655 – ident: 22508_CR15 |
| SSID | ssj0000529419 |
| Score | 2.461107 |
| Snippet | We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial... Abstract We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and... |
| SourceID | doaj swepub proquest pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Publisher |
| StartPage | 35052 |
| SubjectTerms | 4007/2801 4014/2801 4014/477 631/477 639/705 639/766 Arousal Artificial intelligence Behavior Cognition & reasoning Computer and Information Sciences Computer Science Data- och informationsvetenskap Emotional behavior Emotional intelligence Emotions Equilibrium Heterogeneity Humanities and Social Sciences Large language models multidisciplinary Science Science (multidisciplinary) Social impact Social networks Social organization |
| SummonAdditionalLinks | – databaseName: Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Ni9UwEA-yKHgRv62uEkG8aNg0H01yXD8WT4uCyt7CtEmhoH2yfZV9__1Okr7nWxG9SEsPbQiZ3yTNTCb5DSEveOsE2vEdC6YGpiA4BryVrDU4fVv0JyxATjZhTk_t2Zn7uJfqK-0JK_TABbgjLvrQqb5uAFLoUQMYo2OHfrjo0F1o098XrZ49Z6qwegunareckuHSHk04U6XTZEIz7MLcss2VmSgT9v_JytyLkP7GJppnoJPb5NZiOtLj0uQ75Foc75IbJZnk5h6BTzOiNH9nw5ii5zHQnOUG66Srnpa1cVoORdJhpHkvebygY9kHPtG0IksTHoVTgg47ss41hfSc7pMvJ-8_v_3AlgQKrFOmWTPJoRNB1-CkrlsFTats7KFt8LJNF3sJOoYoaugdQNNYI62qQ3Sh0YHHTj4gB-NqjI8IRa8P7wZUDAYrCiB7rsBE5USvowwVebUF0_8oPBk-x7el9QV6j9D7DL3fVORNwntXMnFc5xeoeb9o3v9L8xU53GrLLwNv8lJoa6U1llfk-e4zDpkUB4ExruZcxnGDlemKPCxa3rVE1Ym32YmKvN6q_VflfxPoZekaV0R6N3w9ziJ9G2f0sbCf1o__h-RPyE2ROnLeinhIDtbnc3xKrnc_18N0_iyPhEsBNgyw priority: 102 providerName: Directory of Open Access Journals |
| Title | Quantum-inspired modeling of social impact in complex networks with artificial intelligent agents |
| URI | https://link.springer.com/article/10.1038/s41598-025-22508-y https://www.ncbi.nlm.nih.gov/pubmed/41062792 https://www.proquest.com/docview/3258838780 https://www.proquest.com/docview/3259077755 https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-142081 https://doaj.org/article/02fdc4f16aa44665aa775ec9332c282b |
| Volume | 15 |
| WOSCitedRecordID | wos001591003300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Open Access Full Text customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: DOA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M7P dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health Medical collection customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: 7X7 dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: BENPR dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: PIMPY dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVPQU databaseName: Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M2P dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/sciencejournals providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpR3LbtQwcERbkLjwfgTKykiIC1hNbCe2T6iFVnDoKiBAyymaxA6KBEnZbBD799hOdksR6gUl8iG2LE9mxp6XZwCexaVmTo6vqJEJUoFGU4xLTkvpjm_l9AmFGIpNyPlcLRY6nwxu_RRWudkTw0ZtusrbyA84S5XiSqr41dkP6qtGee_qVEJjB_Z8lgQeQvfyrY3Fe7FEoqe7MjFXB707r_ydMpZSR8ixousL51FI2_8vWfMPP-lfOUXDOXRy838huAU3JgmUHI4kcxuu2PYOXBtrUq7vAr4f3M8evtOm9U54a0goluMWRbqajCZ2Mt6tJE1LQki6_UXaMZy8J96wSzw9jqkpSLPN-bki6Nv-Hnw6Of74-i2d6jDQSshsRXmMFTNpgpqnSSkwK4WyNZaZe1RW2Zpjao1lCdYaMcuU5EokxmqTpSa2Fb8Pu23X2odAnPLo3gyFNdJNZJDXsUBphWZ1armJ4MUGG8XZmG6jCG5yrooRd4XDXRFwV6wjOPII2470qbLDh275tZg4z42vTSXqJEP0vusUUcrUVppzVjl9s4xgf4OuYuLfvjjHVQRPt92O87w7BVvbDWGMjqWbLI3gwUgm25WIxKd_1iyClxu6OZ_8MoCej7R1AaQ3zefDANK3dnCqGnNS3KPLF_0YrjNP4yFWcR92V8vBPoGr1c9V0y9nsCMXMrRqBntHx_P8wyzYIlx7yvJZYCLXk787zb_8Bpv5Id8 |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VAoIL70eggJGAC1hNbCe2DwgVStWqZVWkgnoLk9hBK0G2bDbA_il-I35sthSh3npAiXJILMvjfDOe8YxnAJ6klWZOj6-pkRlSgUZTTCtOK-mWb-XsCYUYik3I0UgdHur9Ffg1nIXxYZWDTAyC2kxqv0e-zlmuFFdSpa-OvlFfNcp7V4cSGhEWu3b-w5ls3cudTfd_nzK29fbgzTZdVBWgtZDFjPIUa2byDDXPs0pgUQllG6wKd6mitg3H3BrLMmw0YlEoyZXIjNWmyE1qa-76PQfnnRrBVAgV3F_u6Xivmcj04mxOytV659ZHf4aN5dQxTqro_MT6F8oE_Eu3_cMv-1cO07DubV3932bsGlxZaNhkI7LEdVix7Q24GGtuzm8Cvu8dmPqvdNz6IANrSCgG5CaBTBoSXQgknh0l45aEkHv7k7QxXL4jfuOaeH6LqTfIeJnTdEbQP7tb8OFM6LsNq-2ktXeBOOPY3QUKa6TryCBvUoHSCs2a3HKTwPPh75dHMZ1IGcIAuCojVkqHlTJgpZwn8NoDZNnSpwIPLybTz-VCsrj2jalFkxWI3jefI0qZ21pzzmpnT1cJrA3wKBfyqSuPsZHA4-VnJ1m8uwhbO-lDG51K11mewJ0Iy-VIRObTW2uWwIsBp8edn0bQs4jlEyRtjj9uBJK-tL0zRZnTUu-dPuhHcGn74N1eubcz2r0Pl5nnrxCXuQars2lvH8CF-vts3E0fBgYl8Oms8f0bP2p63A |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6V8hAX3o9AASMBF4g2sZ3YPiBUWFZURatFAtRbmMQOWgmSstkF9q_x6_Aj2VKEeusBJcohsSzb-WbG43kBPEpKRe0-voq1SDHmqFWMScniUljxLa0-IRF9sQkxncqDAzXbgl9DLIxzqxx4omfUuq3cGfmI0UxKJoVMRnXvFjEbT14cfotdBSlnaR3KaQSI7Jv1D6u-dc_3xvZfP6Z08vr9qzdxX2EgrrjIlzFLsKI6S1GxLC055iWXpsYyt5fMK1MzzIw2NMVaIea5FEzyVBul80wnpmK23zNwVrik5d5tcLY533EWNJ6qPk4nYXLUWVnp4tloFlsiSmS8PiYLfcmAf-1z_7DR_pXP1MvAyeX_efWuwKV-5012A6lchS3TXIPzoRbn-jrgu5UF2eprPG-c84HRxBcJsgtC2poE0wIJMaVk3hDvim9-kia40XfEHWgTR4chJQeZb3KdLgm6Z3cDPpzK_G7CdtM25jYQqzTbO0dutLAdaWR1wlEYrmidGaYjeDogoTgMaUYK7x7AZBFwU1jcFB43xTqClw4sm5YuRbh_0S4-Fz3Hse1rXfE6zRGdzT5DFCIzlWKMVlbPLiPYGaBS9HyrK45wEsHDzWfLcZwZCRvTrnwblQjbWRbBrQDRzUh46tJeKxrBswGzR52fNKEnAdfHpjSef9z1U_rSrKyKSu3u9c7Jg34AFyysi7d70_27cJE6UvPumjuwvVyszD04V31fzrvFfU-rBD6dNrx_A_qBg5k |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Quantum-inspired+modeling+of+social+impact+in+complex+networks+with+artificial+intelligent+agents&rft.jtitle=Scientific+reports&rft.au=Alodjants%2C+A.+P&rft.au=Tsarev%2C+D.+V&rft.au=Zakharenko%2C+P.+V&rft.au=Khrennikov%2C+A.+Yu&rft.date=2025-10-08&rft.pub=Nature+Publishing+Group&rft.eissn=2045-2322&rft.volume=15&rft.issue=1&rft.spage=35052&rft_id=info:doi/10.1038%2Fs41598-025-22508-y&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |