Academic Journal
Uni-Town: Simulating Academic Conflict and Emergent Narratives in a Generative AI Simulation 300 Word statement
| Τίτλος: | Uni-Town: Simulating Academic Conflict and Emergent Narratives in a Generative AI Simulation 300 Word statement |
|---|---|
| Συγγραφείς: | Umran Ali |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | University of Salford: Figshare |
| Θεματικοί όροι: | Creative writing (incl. scriptwriting), Digital writing, Other creative arts and writing not elsewhere classified, Creative arts, media and communication curriculum and pedagogy, Interactive narrative, narrative, generative AI, software, Generative agents, computer narrative, Computer games--Programming, higher education, simulation |
| Περιγραφή: | Uni-Town, explores a generative AI simulation of a university to model the interpersonal and ideological conflicts endemic to modern academia. The central research aim was to determine how a simulation driven by AI agents, informed by creative writing and critical theory, could function as a novel tool for both narrative generation and pedagogical reflection. This work contributes a new methodology for organisational analysis, positioned at the intersection of generative agent research (Park et al., 2023), critical university studies (Fleming, 2021), and narrative design. The research was conducted using a rigorous, practice-led qualitative methodology. The simulation was built using the open-source AI Town framework, populated by twelve AI personas representing roles from across a Higher education institution. The personas were developed through a deliberate triangulation of insider-researcher experience to ensure authenticity, Fleming’s archetypes to embed ideological conflict, and narrative design principles to create dramatic potential. The simulation ran for 45 minutes, generating approximately 3,500 conversational utterances that were subsequently thematically analysed. The core finding is that the simulation successfully produced plausible, emergent dialogues that cohered into distinct narrative arcs. Agents autonomously performed an "ideological cold war," complete with the performance of bureaucracy and the emergence of authentic character voices conveyed through emotional cues. The simulation's ability to generate sophisticated, unscripted political critiques, such as condemning the "neoliberal status quo," demonstrates its capacity for modelling complex social dynamics. The research's significance is in validating agent-based simulations as a powerful reflective tool, offering a low-stakes 'mirror' for organisational analysis and a dynamic sandbox for narrative prototyping that shifts the writer's role from creator to curator. The work was disseminated through its detailed paper and a LinkedIn article ... |
| Τύπος εγγράφου: | text |
| Γλώσσα: | unknown |
| DOI: | 10.17866/rd.salford.30075892.v1 |
| Διαθεσιμότητα: | https://doi.org/10.17866/rd.salford.30075892.v1 https://figshare.com/articles/online_resource/_b_Uni-Town_b_Simulating_Academic_Conflict_and_Emergent_Narratives_in_a_Generative_AI_Simulation_300_Word_statement/30075892 |
| Rights: | CC0 |
| Αριθμός Καταχώρησης: | edsbas.C941C359 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://doi.org/10.17866/rd.salford.30075892.v1# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Header | DbId: edsbas DbLabel: BASE An: edsbas.C941C359 RelevancyScore: 978 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 977.8095703125 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Uni-Town: Simulating Academic Conflict and Emergent Narratives in a Generative AI Simulation 300 Word statement – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Umran+Ali%22">Umran Ali</searchLink> – Name: DatePubCY Label: Publication Year Group: Date Data: 2025 – Name: Subset Label: Collection Group: HoldingsInfo Data: University of Salford: Figshare – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Creative+writing+%28incl%2E+scriptwriting%29%22">Creative writing (incl. scriptwriting)</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+writing%22">Digital writing</searchLink><br /><searchLink fieldCode="DE" term="%22Other+creative+arts+and+writing+not+elsewhere+classified%22">Other creative arts and writing not elsewhere classified</searchLink><br /><searchLink fieldCode="DE" term="%22Creative+arts%22">Creative arts</searchLink><br /><searchLink fieldCode="DE" term="%22media+and+communication+curriculum+and+pedagogy%22">media and communication curriculum and pedagogy</searchLink><br /><searchLink fieldCode="DE" term="%22Interactive+narrative%22">Interactive narrative</searchLink><br /><searchLink fieldCode="DE" term="%22narrative%22">narrative</searchLink><br /><searchLink fieldCode="DE" term="%22generative+AI%22">generative AI</searchLink><br /><searchLink fieldCode="DE" term="%22software%22">software</searchLink><br /><searchLink fieldCode="DE" term="%22Generative+agents%22">Generative agents</searchLink><br /><searchLink fieldCode="DE" term="%22computer+narrative%22">computer narrative</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+games--Programming%22">Computer games--Programming</searchLink><br /><searchLink fieldCode="DE" term="%22higher+education%22">higher education</searchLink><br /><searchLink fieldCode="DE" term="%22simulation%22">simulation</searchLink> – Name: Abstract Label: Description Group: Ab Data: Uni-Town, explores a generative AI simulation of a university to model the interpersonal and ideological conflicts endemic to modern academia. The central research aim was to determine how a simulation driven by AI agents, informed by creative writing and critical theory, could function as a novel tool for both narrative generation and pedagogical reflection. This work contributes a new methodology for organisational analysis, positioned at the intersection of generative agent research (Park et al., 2023), critical university studies (Fleming, 2021), and narrative design. The research was conducted using a rigorous, practice-led qualitative methodology. The simulation was built using the open-source AI Town framework, populated by twelve AI personas representing roles from across a Higher education institution. The personas were developed through a deliberate triangulation of insider-researcher experience to ensure authenticity, Fleming’s archetypes to embed ideological conflict, and narrative design principles to create dramatic potential. The simulation ran for 45 minutes, generating approximately 3,500 conversational utterances that were subsequently thematically analysed. The core finding is that the simulation successfully produced plausible, emergent dialogues that cohered into distinct narrative arcs. Agents autonomously performed an "ideological cold war," complete with the performance of bureaucracy and the emergence of authentic character voices conveyed through emotional cues. The simulation's ability to generate sophisticated, unscripted political critiques, such as condemning the "neoliberal status quo," demonstrates its capacity for modelling complex social dynamics. The research's significance is in validating agent-based simulations as a powerful reflective tool, offering a low-stakes 'mirror' for organisational analysis and a dynamic sandbox for narrative prototyping that shifts the writer's role from creator to curator. The work was disseminated through its detailed paper and a LinkedIn article ... – Name: TypeDocument Label: Document Type Group: TypDoc Data: text – Name: Language Label: Language Group: Lang Data: unknown – Name: DOI Label: DOI Group: ID Data: 10.17866/rd.salford.30075892.v1 – Name: URL Label: Availability Group: URL Data: https://doi.org/10.17866/rd.salford.30075892.v1<br />https://figshare.com/articles/online_resource/_b_Uni-Town_b_Simulating_Academic_Conflict_and_Emergent_Narratives_in_a_Generative_AI_Simulation_300_Word_statement/30075892 – Name: Copyright Label: Rights Group: Cpyrght Data: CC0 – Name: AN Label: Accession Number Group: ID Data: edsbas.C941C359 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.C941C359 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17866/rd.salford.30075892.v1 Languages: – Text: unknown Subjects: – SubjectFull: Creative writing (incl. scriptwriting) Type: general – SubjectFull: Digital writing Type: general – SubjectFull: Other creative arts and writing not elsewhere classified Type: general – SubjectFull: Creative arts Type: general – SubjectFull: media and communication curriculum and pedagogy Type: general – SubjectFull: Interactive narrative Type: general – SubjectFull: narrative Type: general – SubjectFull: generative AI Type: general – SubjectFull: software Type: general – SubjectFull: Generative agents Type: general – SubjectFull: computer narrative Type: general – SubjectFull: Computer games--Programming Type: general – SubjectFull: higher education Type: general – SubjectFull: simulation Type: general Titles: – TitleFull: Uni-Town: Simulating Academic Conflict and Emergent Narratives in a Generative AI Simulation 300 Word statement Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Umran Ali IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
| ResultId | 1 |