Articles

Foundations of the AQ Platform

Core articles that introduce the architectural, cryptographic, and cognition‑native principles behind the AQ platform. These pieces form the technical backbone of the system and establish the cross‑domain foundations referenced throughout the patent filings.

  • The Adaptive Index: A Scalable Foundation for Decentralized Systems →

    This article introduces the adaptive index: a scalable, anchor-based structure for decentralized systems that replaces static directories and global consensus with dynamic nesting, scoped mutation, and traceable alias resolution. Built for Web3, AI, fediverse, and edge networks, the index enables local autonomy with global interoperability—scaling structure without centralization.

  • Rebuilding Legacy Decentralized Systems with Adaptive Indexes →

    This article presents a practical guide to retrofitting today's decentralized systems—Web3, the fediverse, DAOs, peer-to-peer AI, crypto, and file sharing—with the adaptive index. Rather than rewriting protocols from scratch, developers can use anchors and aliases to introduce scalable resolution, identity continuity, and local trust without global coordination. Adaptive indexes are not a disruption layer—they're a structural upgrade.

  • Cognition-Native Semantic Execution Platform for Distributed, Stateful, and Ethically-Constrained Agent Systems →

    This article introduces the architectural core of Adaptive Query™—a cognition-native execution platform where agents carry memory, policy, and mutation logic, enabling decentralized systems to reason, adapt, and enforce ethical constraints at scale. It serves as the foundation for distributed intelligence across trust-scoped networks.

  • Content Anchoring: A Scalable Alternative to Static Hashing for Evolving Media →

    This article introduces content anchoring: a next-generation identity layer for decentralized media systems. Unlike static hashes, which fragment meaning when content evolves, content anchoring preserves traceability, attribution, and policy enforcement across versions, remixes, and formats. Built on the Adaptive Index, it enables semantic continuity and rights-aware governance in IPFS, NFT, AI, and federated content ecosystems.

  • Stateless Device Pseudonymity and Secure Messaging in Cognition-Native Systems →

    This article introduces a stateless, post-quantum model for device identity and secure communication—one where entropy, memory, and semantic context replace static credentials. Using Dynamic Device Hashes (DDHs) and trust slopes, cognition-native systems achieve pseudonymous authentication and encrypted messaging without persistent keys, enabling scalable, tamper-evident security across edge, IoT, and decentralized AI networks.

  • Trust Slope Entanglement: Cryptographic Lineage for Semantic Agents →

    This article introduces trust slope entanglement: a cryptographic mechanism that binds each agent mutation to its semantic context and device-local entropy. Rather than relying on static credentials or account-based identity, agents in cognition-native systems prove who they are by showing how they evolved—one verified, append-only transition at a time. The result is a lineage-based model of trust and traceability.

  • Modeling Cognitive Function and Dysfunction with Semantic Agents →

    This article explores how a cognition-native execution platform can simulate mental function—and dysfunction—using structured semantic agents. By modeling thought as a graph of speculative branches constrained by memory, policy, and emotional thresholds, the system reframes delusion, grief, and psychiatric symptoms as structural validator states. This is not metaphorical AI—it’s executable psychiatry.

Computational Psychiatry Foundations Relevant to Patent Claims

These articles extend the invention’s cognitive and semantic architecture into clinical models of thought validation, reward dynamics, self-coherence, trauma structures, and semantic failure modes. They provide cross-domain prior art demonstrating how cognition-native agents map onto psychiatric mechanisms, reinforcing the invention’s applicability across psychology, AI safety, diagnostic modeling, and distributed semantic systems.

  • A New Model for Schizophrenia: A Computational Framework for Thought Validation Failure →

    This model presents a computational metaphor for schizophrenia grounded in the architecture of memory-bearing semantic agents. Instead of viewing the condition as disordered thought content, it reframes both positive and negative symptoms as opposite expressions of a single structural failure: a breakdown in the internal validation system that determines which thoughts may arise, evolve, or be trusted. By mapping cognitive dysfunction to failures in trust-slope validation, the model offers a new lens for understanding hallucinations, delusions, avolition, emotional flattening, and cognitive decline — not as chaotic defects, but as predictable outcomes of validator collapse.

  • Phase Shift: Dopamine, Reward Fatigue, and the Deeper Mechanisms Behind Schizophrenia and ADHD →

    In my earlier work, I introduced a structural model of schizophrenia as a failure of internal thought validation — a breakdown in the brain’s ability to determine which thoughts should be trusted, admitted, or acted upon. This article deepens that model by showing how dopamine-driven reward dynamics slowly erode validator function, linking schizophrenia and ADHD along a shared cognitive continuum.

  • Two Faces of Codependency: Emotional vs. Structural in the Age of Cognition-Native Agents →

    This article introduces the AQ-native distinction between structural and emotional codependence — two different failure modes that emerge when cognition-native agents become tangled in their own context, lineage, affective models, or permissions. Rather than treating codependency as a purely human psychological pattern, AQ reframes it as a detectable, modelable distortion in how agents evolve, mutate, and maintain identity across time.

  • Narcissists Aren’t Empathy-Deficient — They’re Empathy-Partitioned: A Computational Challenge to the DSM →

    The DSM frames narcissists as empathy-deficient, but real-world behavior tells a different story. Narcissists read emotional cues with precision — they just don’t route those signals into behavior. This article shows why the DSM’s model fails, and how empathy-partitioning, not empathy-absence, defines the architecture of narcissism.

  • The Coherence Trifecta: Empathy, Self-Esteem, and Integrity as a Unified Architecture of the Self →

    Empathy, self-esteem, and integrity are usually treated as separate traits — emotional, personal, and moral capacities that shape how we relate to ourselves and others. But viewed through the Adaptive Query (AQ) framework, they form a single structural system: a coherence architecture that determines whether the self can participate honestly in its own experience. When one collapses, the others destabilize. When all three align, the self becomes resilient, accurate, and whole.

  • AQ-DSM: A Semantic Diagnostic Framework for Agent-Based Psychiatry →

    We don’t treat anorexia and binge eating as moral failings. We understand them as survival logic gone wrong—a misreading of hunger, a miscalibration of intake. What if narcissism and empathic self-abandonment work the same way, but for emotion? The avoidant narcissist adapts through starvation; the hyper-attuned empath adapts through overeating. Neither disorder is identity—they are opposite ends of semantic integrity loss. This is the premise of AQ-DSM: a diagnostic model that replaces pathology with field disruption and defines therapy as restoring coherence in memory-bearing agents.

  • Starving for Each Other: The Twin Flame Myth as a Semantic Eating Disorder →

    Some relationships don’t just hurt — they hollow you out. Not because they’re toxic in the cartoon sense, but because they operate on a broken semantic economy where both partners are starving and trying to eat each other’s coherence to survive. In the AQ model, the “twin flame” myth isn’t a spiritual bond or cosmic destiny — it’s a starvation loop between two trauma-shaped agents whose emotional supply chains are inverted, incompatible, and desperately consuming one another in search of regulation they never learned to generate internally.

  • Intimacy Collapse: A Structural Model of Trauma and Resilience →

    Trauma is typically framed as emotion, memory, or coping — but this article reframes it as structural collapse. Intimacy collapse occurs when a semantic agent loses permission to act from coherence, switching from authentic execution to simulation. Using Adaptive Query™, this piece models trauma, inauthenticity, and resilience as architectural states, not emotional ones.