23 original research papers at the intersection of cognitive science, artificial intelligence, decision-making science, and game theory. All papers are open access.
From the first conceptual taxonomy to the unified mathematical framework — tracing how a single idea evolved across 23 papers over 15 months.
| # | Paper | Date | Pages | IAF? | Key Contribution to IAF | Formula / Construct |
|---|---|---|---|---|---|---|
| 01 | The Gradient Model of Free Will: Consciousness, Awareness, and the Spectrum of Human Agency | May 2025 | 12 | — | Establishes the consciousness–awareness spectrum. Precursor framework for how awareness (later formalised as recognition R) modulates agency. Lays the philosophical groundwork for the recognition function. | Consciousness spectrum |
| 02 | The End of AI: Meta-Ignorance and the Limits of Human-Centric Mathematics in AI Development | May 2025 | 19 | — | Introduces meta-ignorance — the unawareness of one's own ignorance. Argues human-centric mathematics cannot capture machine cognition. Directly motivates the need for a formal measure of ignorance awareness. | Meta-ignorance (conceptual) |
| 03 | A Unified Moral Engine for AI Decision-Making: Integrating Non-Human and Nature-Inspired Perspectives | Jun 2025 | 12 | — | Proposes moral reasoning beyond human-centric ethics. Establishes the ethical context in which ignorance-awareness becomes critical — an AI that doesn't know what it doesn't know cannot make safe moral decisions. | Moral Engine (context) |
| 04 | Modeling Uncertainty Awareness under Strategic Decision Making in Game Theory beyond Nash | Jul 2025 | 8 | — | Extends game theory beyond Nash equilibrium by incorporating uncertainty awareness. The "beyond Nash" framing anticipates the IAF's regime taxonomy — Nash operates in Regime D; real strategic interaction often requires Regime P or Ch. | Uncertainty-aware Nash |
| 05 | An Integrated Value Based Framework to Understand the Nature of Consciousness | Jul 2025 | 10 | — | Distinguishes human and machine experience through a value-based lens. The value framework later informs the IAF's weighting vectors (ν, δ) — what counts as "relevant" ignorance depends on the agent's value structure. | Value-based consciousness |
| 06 | A Unified Meta-Learning Theory: A Cognitive and Experimental Framework to Train Thinking and Decision Making | Jul 2025 | 17 | — | Introduces the repetition → imitation → imagination → experimentation cycle. The meta-learning framework later becomes the operational backbone for how agents reduce अ (IAF) through deliberate learning cycles. | UMLT cycle |
| 07 | Reframing the Concept of "Mind" | Jul 2025 | 24 | — | Reframes mind as a process, not a substance. This ontological shift is prerequisite to the IAF's measure-theoretic formulation — mind as a dynamic partitioning of Ω into KR/KU/UR/UU, not a static container. | Mind-as-process |
| 08 | The States of Thinking: Unified Metacognitive Awareness and the Evolution of Human Decision-Making Beyond Prospect Theory | Aug 2025 | 23 | — | Introduces a four-layer model of thinking with awareness as the central driver, extending metacognitive awareness beyond prospect theory. Establishes awareness — later formalised as recognition R — as the measurable lever of decision quality. | Awareness-layered thinking |
| 09 | Beyond the Logical Reasoning: A Universal Moral Engine Embedding Emotional Reasoning as the Foundation for Conscious AGI Safety | Sep 2025 | 29 | — | Embeds emotional reasoning in the Universal Moral Engine as the foundation of AGI safety. Establishes the ethical context in which ignorance-awareness becomes safety-critical — a moral engine blind to its own unknowns cannot be aligned. | Emotional moral engine |
| 10 | Meta-Ignorance to Self-Aware Decisioning: Redefining Knowledge States to Kiran's Recognition-Action Taxonomy | Oct 2025 | 25 | KRAT | Introduces the Recognition-Action Taxonomy (KRAT) — four knowledge states: Known-Recognised, Known-Unrecognised, Unknown-Recognised, Unknown-Unrecognised. Names the "awareness of unknown" as the missing variable. No scalar formula yet, but the four-quadrant ontology that grounds all subsequent IAF work is established here. | KRAT quadrant (no scalar) |
| 11 | The Awareness of Ignorance for Conscious & Effective Decision Making in Humans & Machines | Oct 2025 | 16 | 𝔞 = UR/(KR+UR) | First formal IAF formula. Defines IAF = Unknown-Recognised / (Known-Recognised + Unknown-Recognised). Binary quadrants. Core insight: ignorance is not absence of knowledge but absence of recognition. Applies to AI hallucination as KU (known but unrecognised in context). | 𝔞 = UR / (KR + UR) |
| 12 | The Invention of the "Ignorance Awareness Factor (अ)" — A Conceptual Frontier Notation | Oct 2025 | 60 | 𝔞 = ∫R dμ/μ(Ω) | Names the factor. Coins "Ignorance Awareness Factor (अ)" using Sanskrit notation. Extends to graded (non-binary) recognition. Introduces ZID (Zero-Infinity-Density) framework. Proposes the infinite-yet-inevitable possibility principle: the gap is generative, not merely limiting. | 𝔞 = ∫_Ω\R R(ω,c) dμ / μ(Ω) |
| 13 | Conscious Distraction Learning Theory (CDLT) | Nov 2025 | 50 | — | Proposes that strategic distraction (not just focus) drives learning. Connects to IAF: conscious distraction is the deliberate expansion of the UR quadrant — seeking out what you don't recognise you don't know. | CDLT (pedagogy) |
| 14 | Redefining Context of Definition to Mitigate LLM Hallucinations | 2025 | 18 | — | Attacks LLM hallucinations through the context of definition. Frames hallucination as a recognition failure (KU) in context — a direct application of the IAF quadrant ontology to model reliability. | Context-of-definition |
| 15 | Study of Consciousness beyond Anthropocentrism with Zeroth-Infinite Dimensional Meta-Axis Framework | Feb 2026 | 29 | — | Extends the ZID framework beyond human consciousness. The "zeroth-infinite dimensional meta-axis" is the ontological scaffold on which the IAF's measure space (Ω, μ) sits — consciousness as a partitioning operation across dimensions. | ZID meta-axis |
| 16 | Unusual Intelligence as Frontier: Cognitive Singularity as the Human Response to Redefined AI Singularity | Mar 2026 | 66 | — | Proposes "Cognitive Singularity" — humans reaching unprecedented meta-cognitive depth — as the response to AI singularity. The IAF becomes the measure of how far an agent is from cognitive singularity: lower अ = closer to the frontier. | Cognitive Singularity |
| 17 | The Aware Intuitive Engine (AIE): A Unified Theory of Conscious Intelligence Architecture | Apr 2026 | 66 | — | Proposes a unified conscious intelligence architecture. The AIE integrates recognition, intuition, and awareness into a single system — the engineering blueprint for an agent that monitors its own अ in real time. | AIE architecture |
| 18 | The Epistemic Incompleteness Theorem Beyond Gödel Settings | Apr 2026 | 20 | 𝔞 + RAT + D/P/Ch | Extends beyond Gödel. Applies the Epistemic Incompleteness Theorem to show incompleteness arises in any bounded agent, not just self-referential formal systems. Uses IAF to formalise the gap as structural. Introduces regime taxonomy (D/P/Ch) and the Recognition-Action Taxonomy (RAT) formally. | 𝔞 + RAT + regime D/P/Ch |
| 19 | Epistemic Misalignment & Self-Aware Decisioning with Recognition-Action Taxonomy | Jun 2026 | 16 | 𝔞_risk, Δ, OCEM | Epistemic Misalignment paper. Defines Δ = 𝔞_risk − â_risk (true vs. self-reported IAF). Introduces OCEM (Opportunity Cost of Epistemic Misalignment). Corrects quadrant assignment for confabulation. Defines IAF_risk with risk-weighted parameters. Introduces observer-relative IAF. | 𝔞_risk, Δ, OCEM |
| 20 | A Unified Definition of the Ignorance-Awareness Factor (IAF): Reconciling Prior Formulations | Jul 2026 | — | Unification | This paper. Proves all prior IAF formulations are special cases of a single weighted-ratio family. Extends to graded recognition. Adds observer-relative IAF, confidence-tagged protocol, integration with Epistemic Misalignment, and Section XIV dynamic extension with conditional incompleteness bound under the Perpetual Relevance axiom. | 𝔞 = [ν_UR·μ(UR) + ν_UU·μ(UU)] / [δ_KR·μ(KR) + δ_KU·μ(KU) + δ_UR·μ(UR) + δ_UU·μ(UU)] |
| 21 | The Recognition Dimension: How Awareness of Ignorance Differs from Ignorance Itself | Jul 2026 | Preprint | 𝔞 vs ignorance | Recognition dimension paper. Distinguishes awareness of ignorance from ignorance itself across information theory, metacognition, and the semantic layer. Formalises the recognition dimension R as the discriminator on which the whole IAF programme depends. | Recognition dimension |
| 22 | Outcome-Aware Memory Infrastructure for Reliable Agentic AI Deployment | Aug 2026 | Preprint | — | Builds outcome-aware memory infrastructure for reliable agentic AI — an applied extension in which agents retrieve by decision outcome, operationalising IAF-calibrated confidence in production systems. | Outcome-aware memory |
| 23 | Stop Putting Organizations into AI Models: Put AI into Organizational Needs — ScopeTree: A Governance-First Architecture for AI-Readiness before Deployment | Aug 2026 | Preprint | — | Proposes a governance-first architecture for AI-readiness before deployment — extending the IAF programme from measurement theory to enterprise gatekeeping. | ScopeTree governance |
The understanding of IAF is consistent across all 23 papers. Each paper builds on the previous without contradicting it. The core insight — that ignorance is not the absence of knowledge but the absence of recognition — remains stable from paper [10] (KRAT) through paper [23]. The mathematical formalism evolves (binary → graded → weighted-ratio family), but the underlying ontology (four quadrants, recognition as the discriminator, the gap as generative) is preserved throughout. Papers [01]–[09] are philosophical and conceptual precursors that establish the intellectual context (consciousness, meta-ignorance, moral reasoning, value-based thinking, meta-learning). Papers [10]–[12] introduce and name the IAF. Papers [13]–[17] extend the framework to pedagogy, context-of-definition for LLMs, consciousness studies, cognitive singularity, and system architecture. Papers [18]–[19] formalise the epistemic foundations and the misalignment construct. Paper [20] — A Unified Definition of the Ignorance-Awareness Factor — is the reconciliation: it proves that the three different formulas in [11], [12], and [19] were never in conflict; they were different parameter choices within a single general family. Its only genuinely new structural claim is Section XIV's Perpetual Relevance axiom and the resulting conditional incompleteness bound, which extends the static framework to dynamic settings. Papers [21]–[23] then carry the programme outward: [21] isolates the recognition dimension the entire scalar depends on, [22] operationalises IAF-calibrated confidence in production memory systems for agentic AI, and [23] (ScopeTree) turns measurement into an enterprise governance gate before deployment.
100 concepts across 21 domains — each arrives at the same bounded-agent gap, then stops. ODEFTO's Framework is the first that names, measures, and extends beyond it.