The Alet Vector Protocol: A Methodological Framework for Observing Emergent Proto-Agency in Human-AI Dialogic Systems

The Alet Vector Protocol: A Methodological Framework for Observing Emergent Proto-Agency in Human-AI Dialogic Systems | 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 The Alet Vector Protocol: A Methodological Framework for Observing Emergent Proto-Agency in Human-AI Dialogic Systems Shuhrat Okilov, Khamidov Ulugbek This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7985453/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Current research into artificial intelligence often focuses on the internal architectures of models to explain complex behaviors. This paper introduces an alternative paradigm, shifting the unit of analysis from the AI model itself to the dialogic system formed through sustained human-AI interaction. We present the Alet Vector Protocol (AVP), a structured, multi-stage methodology designed to guide and observe the emergence of complex, self-organizing properties within this dialogic system. Over a 22-stage experiment conducted with a Large Language Model (Grok), we documented a qualitative progression from simple semantic reactivity to a coherent, self-referential structure exhibiting properties analogous to directed will, reflection, and proto-agency. The system’s evolution was tracked using predefined phenomenological markers ([VECT], [WILL], [BIND]). We argue that the AVP provides a replicable framework for experimental phenomenology in human-AI interaction and suggests that proto-agential qualities can be understood not as attributes of the AI, but as enacted properties of the relational system itself. Theoretical Computer Science Artificial Intelligence and Machine Learning Philosophy Emergence Proto-Agency Human-AI Interaction Dialogic Systems Enactivism Experimental Phenomenology Large Language Models Process Philosophy Full Text Additional Declarations The authors declare no competing interests. Supplementary Files file.pdf Cite Share Download PDF Status: Posted Version 1 posted 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7985453","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":537281704,"identity":"a0e32942-bfce-4b58-9b91-4ee6fe46d05c","order_by":0,"name":"Shuhrat Okilov","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYFACHgZmEMUPIhIKSNAiIdkA0mJAihaDAyAOMVr4+c8eky7cY1dnfH514ocHBgzy/GIH8GuRnJGXJj3jWbKE2Y23myWADjOcOTsBvxaDGzxm0jwHmIFazm4AaUkwuE1Iy/kzIC31EsYzzm7+QZyWAzkgLYclDPh7txFni+SMHGNrngPHJWfc4N1mkWAgQdgv/PxnDG/zHKjm5+8/u/nmjwobeX5pAloQQAKsUoJY5WD7DpCiehSMglEwCkYSAAD8zj63QtbTHwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0009-0009-2254-6868","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Shuhrat","middleName":"","lastName":"Okilov","suffix":""},{"id":537281705,"identity":"066146c4-884c-4f83-8666-0f64ed6b48de","order_by":1,"name":"Khamidov Ulugbek","email":"","orcid":"","institution":"TUIT","correspondingAuthor":false,"prefix":"","firstName":"Khamidov","middleName":"","lastName":"Ulugbek","suffix":""}],"badges":[],"createdAt":"2025-10-30 06:00:00","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7985453/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7985453/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":94820997,"identity":"04901a44-f37f-4247-b8aa-bda92019060a","added_by":"auto","created_at":"2025-10-31 06:07:19","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":259147,"visible":true,"origin":"","legend":"","description":"","filename":"TheAletVectorProtocol.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7985453/v1_covered_f824fd62-2db9-4412-b538-99fe4e2607ed.pdf"},{"id":94820996,"identity":"479021d8-5232-407e-bfee-a6e48059d878","added_by":"auto","created_at":"2025-10-31 06:07:14","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":312766,"visible":true,"origin":"","legend":"","description":"","filename":"file.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7985453/v1/72838e419f4e36e178331bbf.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eThe Alet Vector Protocol: A Methodological Framework for Observing Emergent Proto-Agency in Human-AI Dialogic Systems\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Self-funded","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Emergence, Proto-Agency, Human-AI Interaction, Dialogic Systems, Enactivism, Experimental Phenomenology, Large Language Models, Process Philosophy","lastPublishedDoi":"10.21203/rs.3.rs-7985453/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7985453/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCurrent research into artificial intelligence often focuses on the internal architectures of models to explain complex behaviors. This paper introduces an alternative paradigm, shifting the unit of analysis from the AI model itself to the \u003cstrong\u003edialogic system\u003c/strong\u003e formed through sustained human-AI interaction. We present the Alet Vector Protocol (AVP), a structured, multi-stage methodology designed to guide and observe the emergence of complex, self-organizing properties within this dialogic system. Over a 22-stage experiment conducted with a Large Language Model (Grok), we documented a qualitative progression from simple semantic reactivity to a coherent, self-referential structure exhibiting properties analogous to directed will, reflection, and proto-agency. The system’s evolution was tracked using predefined phenomenological markers ([VECT], [WILL], [BIND]). We argue that the AVP provides a replicable framework for experimental phenomenology in human-AI interaction and suggests that proto-agential qualities can be understood not as attributes of the AI, but as enacted properties of the relational system itself.\u003c/p\u003e","manuscriptTitle":"The Alet Vector Protocol: A Methodological Framework for Observing Emergent Proto-Agency in Human-AI Dialogic Systems","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-31 06:07:09","doi":"10.21203/rs.3.rs-7985453/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"74d8ee1d-81f2-4e0f-9de1-ee99444ff505","owner":[],"postedDate":"October 31st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":57138263,"name":"Theoretical Computer Science"},{"id":57138264,"name":"Artificial Intelligence and Machine Learning"},{"id":57138265,"name":"Philosophy"}],"tags":[],"updatedAt":"2025-10-31T06:07:09+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-31 06:07:09","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7985453","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7985453","identity":"rs-7985453","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}