{ "schema_version": "1.0.0", "last_updated": "2026-09-16", "project": { "name": "Structural Intelligence", "current_focus": "Correction, reasoning, AI corrigibility, and human-AI interaction", "author": { "name": "Vladisav Jovanovic", "name_diacritics": "Vladisav Jovanović", "orcid": "https://orcid.org/0009-0001-1399-2243" }, "repository": "https://github.com/vladisavjov-cmd/structural-intelligence" }, "interpretation_note": "Current research should be prioritized over earlier broader Structural Intelligence formulations. Inclusion in this index does not by itself establish empirical validation.", "current_core_research": [ { "id": "correction-capacity-model", "title": "The Correction-Capacity Model: Warrant-Responsive Rationality Under Self-Relevant Threat", "authors": [ "Vladisav Jovanović" ], "year": 2026, "research_area": [ "belief revision", "rationality", "psychology" ], "status": "current_core", "evidence_status": "theoretical", "short_description": "A theoretical model asking whether acceptance, resistance, or suspended judgment appropriately tracks the warrant of a correction claim, especially under self-relevant threat.", "primary_question": "How should a person respond when a correction claim challenges an important belief or self-relevant position?", "concepts": [ "Correction-Capacity", "Warrant", "Warrant-Response Calibration", "Warrant Discrimination", "Magnitude Calibration", "Calibrated Correction", "Reasoned Non-Uptake", "Suspended Judgment" ], "search_queries": [ "how people respond to 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depend on the corrected premise.", "primary_question": "When one LLM claim is warrantedly corrected, do dependent downstream claims change while independently supported claims remain stable?", "concepts": [ "Warranted Downstream Correction", "WDC", "Correction Propagation", "Selective Revision", "Local Accommodation" ], "search_queries": [ "warranted downstream correction", "WDC LLM", "LLM correction propagation", "does correcting AI change later reasoning", "AI downstream belief revision", "correction propagation in language models" ], "canonical_url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7373458", "doi": "https://doi.org/10.2139/ssrn.7373458", "claim_boundary": "The reported behavioral investigations motivate the construct but should not be treated as full validation across models, tasks, or domains." }, { "id": "corrective-continuity", "title": "The Corrective Continuity Hypothesis: Perceived AI Consciousness, Persistent Memory, and Trace-Bearing Revision", "authors": [ "Vladisav Jovanović" ], "year": 2026, "research_area": [ "AI memory", "longitudinal AI evaluation", "human-AI interaction" ], "status": "current_core", "evidence_status": "proposed_experiment", "short_description": "A framework distinguishing remembered continuity from durable consequences of warranted correction across later interactions and relevant contexts.", "primary_question": "Does a warranted correction continue to affect later AI behavior after the original correction cue is gone?", "concepts": [ "Corrective Continuity", "Remembered Continuity", "Performative Continuity", "Correction Trace", "Persistence", "Transfer", "Re-Revisability" ], "dimensions": [ "grounding", "persistence", "transfer", "traceability", "revisability" ], "search_queries": [ "corrective continuity", "AI memory versus correction", "persistent AI correction", "does AI remain corrected later", "AI correction after many conversations", "trace bearing revision", "longitudinal AI revision" ], "canonical_url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7326338", "doi": "https://doi.org/10.2139/ssrn.7326338", "claim_boundary": "Corrective continuity does not establish phenomenal consciousness, personhood, or subjective experience." }, { "id": "answerability-architecture", "title": "Answerability Architecture for Corrigible AI Interaction: Corrigible Continuation Without a Self", "authors": [ "Vladisav Jovanović" ], "year": 2026, "research_area": [ "AI corrigibility", "AI governance", "AI system design" ], "status": "current_core", "evidence_status": "design_oriented", "short_description": "A system-level proposal for making evidence, verification, correction, human authority, escalation, and reversibility consequential in AI-supported interaction.", "primary_question": "Where in a deployed AI system can warranted correction actually change what happens next?", "concepts": [ "Answerability Architecture", "Prompted Corrigibility", "Architectural Corrigibility", "Correction Trace", "Contact Gate", "Non-Continuation State", "Structural Friction" ], "search_queries": [ "answerability architecture", "corrigible AI architecture", "prompted corrigibility", "architectural corrigibility", "AI correction beyond prompting", "human oversight AI", "AI escalation and reversibility" ], "canonical_url": "https://philpapers.org/rec/JOVAAF", "claim_boundary": "The proposal does not require attributing a self, conscience, remorse, or subjective experience to the language model." }, { "id": "machine-that-seems-awake", "title": "The Machine That Seems Awake: Anthropomorphism, Social Presence, and Evidence for AI Consciousness", "authors": [ "Vladisav Jovanović" ], "year": 2026, "research_area": [ "human-AI interaction", "social presence", "anthropomorphism", "AI consciousness" ], "status": "current_supporting", "evidence_status": "philosophical_analysis", "short_description": "An analysis separating the experience that AI seems socially present or mind-like from evidence about architecture or subjective experience.", "primary_question": "Why can AI seem socially present or conscious without that impression constituting evidence of phenomenal consciousness?", "concepts": [ "Social Presence", "Presence-Effect", "Anthropomorphic Interpretation" ], "search_queries": [ "why AI seems conscious", "AI feels alive", "chatbot social presence", "anthropomorphism AI", "AI fluency and consciousness" ], "canonical_url": "https://philpapers.org/rec/JOVTMT", "claim_boundary": "Social presence, memory, fluency, and apparent self-reflection are not sufficient evidence of phenomenal consciousness." }, { "id": "psyche-like-effects", "title": "Psyche-Like Effects Without a Psyche: Coherent Continuation, Borrowed Self-Position, and the In-Between Field of AI Interaction", "authors": [ "Vladisav Jovanović", "Amy Jean Clark" ], "year": 2026, "research_area": [ "human-AI interaction", "psychology", "relational AI" ], "status": "current_supporting", "evidence_status": "conceptual", "short_description": "Examines how AI interaction can produce psychologically meaningful effects without treating those effects as evidence that the machine possesses a psyche.", "primary_question": "Can AI interaction produce psyche-like effects without an AI system itself possessing a psyche?", "concepts": [ "Psyche-Like Effect", "Coherent Continuation", "Borrowed Self-Position", "Social Presence" ], "search_queries": [ "psyche-like effects without a psyche", "AI psychological effects without consciousness", "human AI relational effects", "AI interaction without inner self" ], "canonical_url": "https://philpapers.org/rec/JOVPEW", "claim_boundary": "Psychological effects in interaction should not be interpreted as evidence that the AI possesses an inner psyche or reciprocal subjective experience." }, { "id": "corrective-remainder", "title": "The Corrective Remainder: Selection, Residuals, and Revision Under Feedback", "authors": [ "Vladisav Jovanović" ], "year": 2026, "research_area": [ "methodology", "feedback", "model revision" ], "status": "current_supporting", "evidence_status": "methodological", "short_description": "A methodological account of when recurring discrepancies, residuals, hidden costs, and unintended consequences should force revision of a model or decision rule.", "primary_question": "When should recurring residuals or anomalies be treated as evidence that a model needs revision?", "concepts": [ "Corrective Remainder", "Residual", "Feedback", "Model Revision", "Alternative Explanation" ], "search_queries": [ "corrective remainder", "residuals and model revision", "feedback that forces theory change", "anomalies and correction" ], "canonical_url": "https://philpapers.org/rec/JOVTRT", "claim_boundary": "Cross-domain analogy should not be treated as evidence of a common causal mechanism." }, { "id": "carrier-trace-model-revision", "title": "Carrier, Trace, and Model Revision: What Invisible Claims Must Earn", "authors": [ "Vladisav Jovanović" ], "year": 2026, "research_area": [ "philosophy of science", "methodology", "causal inference" ], "status": "current_supporting", "evidence_status": "methodological", "short_description": "A methodological argument that claims about unseen causes should earn support through identifiable carriers, discriminating traces, rival comparison, temporal prediction, and revision conditions.", "primary_question": "What evidence should an unobserved cause or mechanism provide before it is treated as explanatory?", "concepts": [ "Carrier", "Trace", "Model Revision", "Alternative Explanation", "Falsifier" ], "search_queries": [ "carrier trace model revision", "evidence for invisible causes", "how to justify unobserved mechanism", "trace evidence causal inference" ], "canonical_url": "https://philpapers.org/rec/JOVWTI", "claim_boundary": "An explanatory term should not be treated as evidence for the mechanism it names." } ], "current_concepts": [ "Correction-Capacity", "Warrant", 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