Research on the Generation Method of Suspense Stories Based on New-Type Inference

Research on the Generation Method of Suspense Stories Based on New-Type Inference | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Research on the Generation Method of Suspense Stories Based on New-Type Inference Wenjuan Bu, Zhuolun Li, Zihan Sha, Yuntian Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6475230/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 23 Aug, 2025 Read the published version in Journal of Intelligent Information Systems → Version 1 posted 13 You are reading this latest preprint version Abstract With the rapid development of artificial intelligence technology, its application in the field of creative writing has gradually become a research hotspot, especially in the generation of suspense stories. How to enhance the dramatic tension of suspense story plots while maintaining narrative coherence is an important challenge currently faced by researchers. This paper proposes a method for generating suspense stories based on a novel type of inference, aiming to advance the development of automatic suspense story generation technology. First, a new semantic knowledge framework—situation graph—is constructed, which can not only capture the semantics of micro-scenes but also dynamically track the evolution of the story. Second, the Psycho-Computational Suspense Model (PCSM) is proposed, which transforms psychological suspense heuristic rules into inferential constraint indicators and integrates them into the inference search process as suspense factors. Finally, Suspense-Aware Monte Carlo Tree Search (SA-MCTS) is introduced, which drives large language models (LLMs) to generate suspense stories through a co-evolution mechanism of dual inference paths. Experiments demonstrate that the proposed method has achieved significant results in terms of plot complexity, character depth, and suspense creation, providing new ideas and approaches for the development of automatic suspense story generation technology. Creative Writing Suspense Stories Situation Graph Psychology MCTS Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 23 Aug, 2025 Read the published version in Journal of Intelligent Information Systems → Version 1 posted Editorial decision: Revision requested 01 Jun, 2025 Reviews received at journal 01 Jun, 2025 Reviews received at journal 25 May, 2025 Reviews received at journal 14 May, 2025 Reviews received at journal 13 May, 2025 Reviewers agreed at journal 29 Apr, 2025 Reviewers agreed at journal 29 Apr, 2025 Reviewers agreed at journal 28 Apr, 2025 Reviewers agreed at journal 27 Apr, 2025 Reviewers invited by journal 27 Apr, 2025 Editor assigned by journal 23 Apr, 2025 Submission checks completed at journal 23 Apr, 2025 First submitted to journal 17 Apr, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6475230","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":448838160,"identity":"f91ab45f-bbe9-4698-a8a6-3437183d6b1c","order_by":0,"name":"Wenjuan Bu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8ElEQVRIiWNgGAWjYBACAzDJAyL4Hz5IqJCQkydBCw+zwYMzFsaGDURpgehjk3zYVpHIcICAFnOJHMPHBTKH5c0ZeA9IJM6TSGBsYH746AYeLZYzcoyNZ/AcNtzZwJdgkLhNIo+dgc3YOAefw27kbpPm4TnMuOEAg0ECUEsxYwMPmzQBLdt/A7XYg7QcSJwjkdhwgLCWbcxALYkbDvAYNiQ2EKHFsuf9Z6DD0pM3HGBLZkg4JmFs2EzAL+bsaYmfeXusbTccYD7+80dNnZw8e/PDx/i0gAFjD5CQfwDlMRNSDgY/iFI1CkbBKBgFIxUAAI83SxNSDjePAAAAAElFTkSuQmCC","orcid":"","institution":"Key Laboratory of Cyberspace Security, Ministry of Education","correspondingAuthor":true,"prefix":"","firstName":"Wenjuan","middleName":"","lastName":"Bu","suffix":""},{"id":448838163,"identity":"7c6288cc-218b-4c1a-942d-06161d690378","order_by":1,"name":"Zhuolun Li","email":"","orcid":"","institution":"Key Laboratory of Cyberspace Security, Ministry of Education","correspondingAuthor":false,"prefix":"","firstName":"Zhuolun","middleName":"","lastName":"Li","suffix":""},{"id":448838164,"identity":"2ac1e2a3-4f2b-4665-8e0f-9e875971fbe7","order_by":2,"name":"Zihan Sha","email":"","orcid":"","institution":"Key Laboratory of Cyberspace Security, Ministry of Education","correspondingAuthor":false,"prefix":"","firstName":"Zihan","middleName":"","lastName":"Sha","suffix":""},{"id":448838165,"identity":"be37bb8d-b547-4a97-89a9-e7bf13d57d8c","order_by":3,"name":"Yuntian Zhao","email":"","orcid":"","institution":"Key Laboratory of Cyberspace Security, Ministry of Education","correspondingAuthor":false,"prefix":"","firstName":"Yuntian","middleName":"","lastName":"Zhao","suffix":""}],"badges":[],"createdAt":"2025-04-18 02:08:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6475230/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6475230/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s10844-025-00977-x","type":"published","date":"2025-08-23T16:30:17+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":89847547,"identity":"cc5858e1-52d6-4cca-a8ed-6e83501020b1","added_by":"auto","created_at":"2025-08-25 16:43:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1647645,"visible":true,"origin":"","legend":"","description":"","filename":"MCST.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6475230/v1_covered_658c2606-bec1-4700-b018-68a32aba38dc.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on the Generation Method of Suspense Stories Based on New-Type Inference","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-intelligent-information-systems","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jiis","sideBox":"Learn more about [Journal of Intelligent Information Systems](http://link.springer.com/journal/10844)","snPcode":"10844","submissionUrl":"https://submission.nature.com/new-submission/10844/3","title":"Journal of Intelligent Information Systems","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Creative Writing, Suspense Stories, Situation Graph, Psychology, MCTS","lastPublishedDoi":"10.21203/rs.3.rs-6475230/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6475230/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWith the rapid development of artificial intelligence technology, its application in the field of creative writing has gradually become a research hotspot, especially in the generation of suspense stories. How to enhance the dramatic tension of suspense story plots while maintaining narrative coherence is an important challenge currently faced by researchers. This paper proposes a method for generating suspense stories based on a novel type of inference, aiming to advance the development of automatic suspense story generation technology. First, a new semantic knowledge framework\u0026mdash;situation graph\u0026mdash;is constructed, which can not only capture the semantics of micro-scenes but also dynamically track the evolution of the story. Second, the Psycho-Computational Suspense Model (PCSM) is proposed, which transforms psychological suspense heuristic rules into inferential constraint indicators and integrates them into the inference search process as suspense factors. Finally, Suspense-Aware Monte Carlo Tree Search (SA-MCTS) is introduced, which drives large language models (LLMs) to generate suspense stories through a co-evolution mechanism of dual inference paths. 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