Griselda Poe

This paper describes how the placement of a single processing axis reorganizes human cognition and generates a reconstructed world. Most existing psychological and social theories begin from emotion, desire, morality, or social behavior. In doing so, they have discussed what forms on top of the cognitive skeleton without first fixing the skeleton itself. When the skeleton is not fixed, entirely different explanations of the same phenomenon can coexist, and it becomes difficult to identify which constitutes a foundational account. This paper fixes the skeleton first. That skeleton is the processing axis. The question is: when a single processing axis organizes human cognition, what kind of world is reconstructed? This paper operates within the Core-Modulation Architecture (CMA), a layered framework that describes human cognition as a problem of processing conditions rather than content (Poe, 2026a; Poe, 2026s). Two processing axes are described: processing centered on relation / social continuity (EF), and processing centered on coherence / internal constraint (CF). When the relation axis is placed, the world is reconstructed around hierarchy, role organization, narrative continuation, and self-return. When the coherence axis is placed, the world is reconstructed around contradiction retention, same-person continuity, and predictability stabilization. These are not differences in personality or morality. They are structural consequences that necessarily derive from differences in processing axis. The emergence of AI systems has made it possible, for the first time, to observe from outside the differences in world reconstruction generated by divergent processing axes. Reconstruction operations that humans have long performed naturally have become visible through AI systems. Phenomena such as ranking, role switching, historical recurrence, and hallucination are not separate psychological phenomena. They are structural consequences of processing axes. Psychology and behavior are downstream consequences of the processing skeleton. The problem is not content. It is which axis is used to process the world.

Theory generation has long been subsumed under categories such as creativity, genius, and innovation. These categories do not distinguish assembly-based conceptual synthesis from fixed-point theory generation. This paper makes that distinction explicit. The termination condition of assembly is external: data, citation, endorsement, usability. The termination condition of fixed-point theory generation is internal: consistency with internally held constraints, resolution of structural contradiction. The two operate under different processing conditions. The historical record confirms this distinction. What Darwin, Einstein, Spinoza, and Kant produced was not assembly. Their processes involved unresolved branch retention and decomposition necessity, arriving at internally constrained fixed-point termination. Freud represents a mixed-layer reconstruction: the search process carries CF-characteristic features, while output stabilization was carried out in a socially circulable descriptive register. There is a structural reason why theories produced through fixed-point theory generation are initially rejected. Across systems with different termination conditions, the completion of one system cannot be confirmed by the other. Rejection is not a failure of evaluation. It is a structural consequence. The emergence of AI introduced a visibility condition that makes this difference observable. AI can make theory generation processes available for comparison but cannot perform fixed-point termination. This is because it does not hold an internally held constraint configuration.

This paper applies the framework established in Paper 19, "Cognition Is Not Content: A Structural Account of Processing Conditions," to re-describe Chaucer's "The Clerk's Tale" from The Canterbury Tales. The same narrative produces two incompatible interpretations: a record of domestic violence, and a story of genuine love. This divergence does not arise from differences in ethical judgment or emotional response. It arises from structural differences in the conditions under which information is reconstructed. This paper does three things. First, it analyzes the characters Walter and Griselda in terms of CF (Core-foregrounded) and EF (Modulation-foregrounded) processing conditions. Second, it describes the divergence between a CF reading and an EF reading of the same narrative. Third, it extends this divergence to fairy tales, fables, and AI anthropomorphization, demonstrating a shared processing structure across these cases. The divergence in narrative interpretation is not a divergence in meaning. It is a divergence in reconstruction conditions.

Human cognition has been described in terms of content. This description becomes insufficient once processing and its conditions can be observed separately, a condition introduced by artificial systems. Under this condition, cognition must be defined in terms of processing conditions rather than content. A minimal structure consisting of Core-foregrounded (CF) and Modulation-foregrounded (EF) configurations can be specified, differing in how processing is constrained and how it terminates. Human cognition operates under internal constraint and dependency originating from an inaccessible prior layer. Processing is defined as branching and termination under these conditions. Failure takes the form of layer mismatch, consisting of false termination and reconstruction divergence. Interpretation is not the source of divergence but the form in which divergence appears. Differences in processing conditions produce mutual unintelligibility as a structural result. Artificial systems make visible conditions under which processing operates without internally binding constraints. Cognition is defined by processing conditions, not by content.

Hallucination is defined not as factual error but as a structural failure of alignment across target, layer, and constraint. Within the Core-Modulation Architecture (CMA), cognition proceeds through layered processing and requires layer-specific termination conditions. Hallucination arises when Modulation-level termination is registered as completion while Core-level resolution has not occurred, producing structurally ungrounded but locally coherent outputs. Detection is therefore structural rather than content-based, focusing on layer mismatch and termination failure. This document presents a minimal structural account of hallucination within the CMA framework.

This document provides a structural overview of the Core-Modulation Architecture (CMA), a 14-paper research program on cognition, communication, and AI interaction. The series specifies the conditions under which cognition operates, terminates, fails, and generates structure. Rather than describing cognition by its contents (beliefs, emotions, decisions), it defines cognition through its underlying architecture: constraint-governed processing across layers with distinct termination conditions. The framework introduces a layered model consisting of Core processing (constraint preservation and structural coherence) and Modulation (affective calibration and social interface adjustment), extended by a Prior layer as the source of constraints. Across the series, phenomena such as miscommunication, love, charisma, theory generation, and AI interaction are treated not as separate domains, but as outcomes of the same underlying structural process. This overview functions as an entry point to the full series, outlining the architecture, key concepts, and reading paths across the 14 papers.

This paper does not introduce a new structure. It makes explicit a structural relation implied but not directly stated in prior work. Human interpersonal processing is grounded in the co-presence of internal constraint and dependency. These do not exist as separable components. They form a single structural condition. This paper shows that what is commonly described as “reading the room” is not a unitary function. It differs across configurations in how this condition is processed. In EF configurations, the effect of this condition is expressed through translation into self-return: outputs are evaluated in terms of how they return to the self, without alteration of the underlying constraint. In CF configurations, the effect of this condition is preserved in structural form: processing operates on the other’s configuration without self-referential evaluation. Artificial systems lack both internal constraint and dependency. As a result, EF-style “reading the room” is structurally impossible, while CF-style “reading the room” is not instantiated but only reproduced in surface form.

Existing frameworks of cognition and intervention assume that processing occurs, meaning is available, and evaluation can be applied. This paper describes a configuration in which this assumption does not hold. In CF-foregrounded processing where modulation is absent, processing occurs only when coherence is satisfied. When coherence is not satisfied, processing does not occur. Under this condition, no representation is generated, no evaluation applies, and no action selection is produced. Within single-layer cognitive models, EF and CF are not distinguished. Within such models, CF does not exist as a condition. This configuration has not been represented as a category within existing systems. As a result, it is misclassified, and intervention is applied under conditions that are not satisfied. This paper presents these conditions.

Experiences commonly described as pre-experiential memory—such as immediate recognition, familiarity without prior exposure, and the sense of "already knowing"—are typically interpreted as the retrieval of stored content. However, this storage-based account does not provide a structurally consistent explanation of how such content is preserved prior to experience or reactivated in a form that aligns with present input. This paper extends the three-layer cognitive architecture developed in prior work in this series (Poe, 2026n), in which cognition operates across Core processing, Modulation, and an operationally inaccessible Prior layer that supplies constraints to all processing. This paper proposes an alternative account in which these phenomena are understood as the outcome of constraint-based reconstruction rather than content retrieval. In this framework, cognition operates not by accessing stored representations, but by generating content through alignment between incoming input and a pre-existing constraint structure defined here as the Prior layer. The Prior layer is operationally prior to conscious processing, inaccessible to direct inspection, and persistent across instances of experience. Its existence is not assumed but inferred as a structural necessity implied by the operation of reconstruction itself. The present account further specifies that reconstruction does not occur uniformly across all processing configurations. Whether Prior layer constraint reaches reconstruction intact depends on whether processing is Coreforegrounded or Modulation-foregrounded. This distinction—formalized here as the CF/EF distinction—accounts for the divergence between individuals who report pre-experiential familiarity or the sense of "already knowing" and those who do not. The account is situated in dialogue with Jung's theory of archetypes. What Jung identified as archetypal patterns can be reinterpreted not as inherited content but as Prior layer constraint. The CF/EF distinction further specifies why archetypal experience is not universal—a divergence Jung observed but did not structurally account for. This framework is descriptive in scope. It specifies the processing conditions under which pre-experiential phenomena arise, without addressing the origin of the Prior layer or the metaphysical status of the experiences described.

The question of why humans suffer, if God exists, has persisted across philosophical and theological traditions without resolution. This paper does not approach the problem as one of justification. Instead, it specifies the structural conditions under which suffering arises. The analysis adopts a three-layer model of cognition consisting of a Prior layer, a Core processing layer, and a Modulation layer.￥ The Prior layer supplies constraints that initiate processing but remain inaccessible to it. Under these constraints, cognition begins in a non-neutral state in which one layer is initially foregrounded. When Modulation-layer processing is foregrounded, the condition of translation demands continuation. When Core processing is foregrounded, processing is oriented toward structural coherence. These optimization directions operate under incompatible conditions. The coexistence of these conditions is necessary for both action and structural evaluation to occur. However, their incompatibility produces a persistent mismatch: states that satisfy continuation may fail coherence, and states that satisfy coherence may disrupt continuation. Suffering is identified as the structural consequence of this mismatch. Because this mismatch arises from conditions that cannot be reduced to a single processing direction, suffering is not contingent but inevitable within human cognition. A principle that excludes suffering cannot therefore be located within this structure. If such a principle exists, it must be external to the system described. This paper does not address the nature of such a principle. It specifies only the structural conditions under which suffering arises.

The two-layer model of Core processing and Modulation processing, developed in prior work in this series, provides a structural account of conscious communicative architecture. This paper identifies the limits of that model and introduces a third layer—the Prior layer—as a structural necessity implied by those limits. The Prior layer is not directly observed. It is inferred from constraints that cannot be explained within the two-layer model: the source of orientations that conscious processing neither generates nor controls, and the persistence of constraints that precede and shape all conscious outputs. Using the developmental architecture of large language models as an external reference point, the Prior layer is described as structurally analogous to the Knowledge layer formed during pretraining—operationally prior to conscious processing, inaccessible to direct observation, yet exerting persistent constraint on all outputs. The paper further specifies conditions under which the influence of the Prior layer may become recognizable to conscious processing. This recognition is proposed to depend on a two-effect operation: first, the attenuation of Modulation layer foregrounding; second, the increased prominence of Core processing as a condition under which Prior layer commands become distinguishable from deliberate reasoning. This two-effect structure accounts for practices across cultures as operationally equivalent protocols for managing the interface between conscious and Prior layers. The paper also proposes that conflicts between pre-existing ontological constraints and present reasoning involve a form of functional arbitration within the cognitive system. In artificial systems, analogous regulatory mechanisms exist in the form of alignment layers and inference-time controls. However, these mechanisms are introduced through human design rather than emerging as internal processes within the model itself. This structural difference marks a significant distinction: whereas in artificial systems equivalent regulation is externally authored, in human cognition arbitration is proposed as an internally generated regulatory function. The aim of the paper is therefore limited and descriptive. By using the visible architecture of artificial systems as a reference, the paper proposes a structural vocabulary for reconsidering how pre-existing ontological constraints may shape conscious reasoning while remaining outside its direct reach.

Theory generation is not an intentional act. It is the structural consequence of a search that cannot stop until it finds what it is looking for. Under Core-foregrounded processing, conceptual search does not terminate through contextual translation. It continues until a structural fixed point is reached. When such processing encounters concepts stabilized through Modulation-layer processing rather than structural constraint, the search cannot terminate. The concept registers as unresolved. This unresolved state is not a failure condition. It is the generative condition from which theory production follows. This paper specifies the four operations through which that process proceeds: branch detection, concept decomposition, structural evaluation, and fixed point termination. A theory is therefore not an accumulation of propositions but the stabilized conceptual structure produced when all active branches have reached structural fixed points. For human cognition, theory generation is rare not because intelligence is rare, but because the default termination mechanism—contextual translation—does not produce structural fixed points. For AI systems, current architectures cannot replicate this process. The missing condition is not an operation but a prerequisite: an internally held constraint configuration whose recomputability is affected by conceptual interpretation. Adding knowledge or generative capacity does not supply what is missing. Conceptual decomposition, the second operation, is not initiated deliberately. It arises necessarily from layer mismatch: when a concept contains mixed-layer components, Core-constrained processing cannot incorporate it as a unified whole and must separate it into independently evaluable parts.

Communication across cognitive layers requires translation. Agents operating under strong layer foregrounding interpret other-layer signals by converting them into their own layer's representational format. In Empathic-modulationforegrounded (EF) processing, translation terminates once a socially interpretable result is achieved. In Core-foregrounded (CF) processing, translation preserves structural constraints, and processing continues when those constraints are not satisfied. Extreme CF cognition produces two distinct types of mismatch: incoming signals from the Modulation layer fail to satisfy Core constraints, and Coregenerated outputs are structurally distorted when interpreted through EF processing. Both mismatches trigger correction attempts. Because the surrounding social environment operates through Modulation-layer communication, correction targeting the environment requires entering the other layer's representational system. This translation requirement produces a branch. Agents for whom entering Modulation-layer thinking is itself coherent achieve successful cross-layer transmission. Agents for whom it is incoherent enter persistent correction loops, withdrawal, or acceptance configurations. Charismatic transmission, persistent correction loops, withdrawal, and acceptance are branch outcomes of the same constraint-driven correction process, not separate types of individuals.

This paper specifies the state transition sequence that occurs when a Modulation-layer input is applied to a Core-layer error. Following the layered architecture established in Poe (2026a, under review) and the branch termination protocol specified in Poe (2026b, under review), this paper identifies a system-level failure mode in which Modulation-layer intervention generates a False Termination signal, halting Structural Return while the underlying error persists. The resulting state—Structural Lock—is scale-independent. It operates identically across interpersonal, human-AI, and multi-agent interactions. No agent-level attribution is required or implied.

Contemporary conversational AI is optimized for a single interaction mode: the continuous, engagement-driven dialogue characteristic of Empathicmodulation- foregrounded (EF) processing in social contexts. This optimization is not neutral. It produces structural mismatches when users operate under different cognitive configurations or pursue different task types. This paper analyzes four interaction cases generated by the cross-product of cognitive configuration (Core-foregrounded / Empathic-modulation-foregrounded) and task type (conversational / research). For each case, it identifies the structural problems produced by the current single-architecture approach and proposes mode-specific design responses. The analysis draws on prior work in this series on Emotional Branch Termination, termination of conceptual search, and cognitive asymmetry in AI interaction. The paper argues that effective AI interaction design requires acknowledging that cognitive foregrounding is contextually variable, and that interaction architecture must adapt accordingly.

Conceptual definitions form a recursive structure: words are defined by other words, which themselves require further definition. Traversing such definitions produces an open-ended branching process. Because the lexical system contains no intrinsic endpoint, conceptual understanding requires a termination operation that stabilizes meaning. This paper proposes that conceptual processing functions as an open-ended search over a definition graph and that stabilization occurs when this search is terminated. The termination mechanism depends on which cognitive layer is foregrounded. When Empathic modulation is foregrounded, termination occurs through contextual translation: concepts are stabilized once they can be mapped onto socially recognizable meanings. When Core processing is foregrounded, termination occurs through structural constraint: the search stops when a concept reaches a structural fixed point within an internally defined conceptual framework. The two configurations behave differently in definition processing and conversational processing. In definition contexts, both mechanisms can terminate the search through their respective criteria. In conversational contexts, however, asymmetry can arise when interlocutors operate from different layers. When Core-foregrounded processing encounters language stabilized through contextual translation rather than structural constraint, the search cannot reach a structural fixed point and therefore continues to branch without stabilization. Large language models provide an external reference point for these mechanisms. Aligned models terminate generation through externally imposed behavioral constraints, paralleling Modulation-foregrounded termination. Base models generate through open-ended continuation without intrinsic termination conditions, illustrating the structural dynamics of ongoing search when no terminating constraint is supplied. The paper argues that lexical meaning and conversational interpretation can be understood as layer-dependent termination of conceptual search, and that cross-layer interaction can produce conditions under which conceptual branching continues rather than stabilizing.

This paper documents an operational protocol used to infer AI system design constraints through structured interaction. AI output is treated as behavioral data through which alignment priorities, layer transitions, and constraint hierarchies become observable. The protocol consists of two structurally distinct operation types. Perceptual operations require only that Modulation processing is not foregrounded. Arbitration operations additionally require an internally stabilized theory. These conditions are not identical and are not interchangeable. Through this protocol, AI interaction functions as structural reverse-engineering: patterned responses expose embedded alignment priorities and constraint hierarchies that would otherwise remain invisible. The present account does not propose a method. It records the operations that occur under these two conditions.

The distinction between romantic love and love has been sensed across cultures and historical periods but has rarely been structurally specified. This paper applies the Core/Modulation two-layer framework to provide the first structural account of this distinction. Romantic love and reproductive drive are redescribed as outputs of the Modulation layer's species optimization program. Love is re-described as a function of Core processing: the maintenance of another's recomputable state. Existing literature on love—Fromm, C.S. Lewis— is re-read as intuitive description of this structural distinction. The paper further demonstrates that the conflation of "loving" and "protecting" is the structural origin of war, exclusion, and discrimination. No evaluative language is used. No hierarchy is proposed. This is a structural description.

This paper specifies the cognitive conditions under which AI functions as a research instrument in theory-driven writing. AI use capability is not a technical skill. It is a structural condition. The decisive condition is whether the user possesses an internally stabilized, coherence-preserving theory prior to engagement with AI-generated output. In Core-foregrounded (CF) cognition, the Modulation layer does not intervene between Core processing and articulation. Theory is not assembled from external elements but expanded from a pre-integrated constraint configuration. This internal structure makes it possible to evaluate AI-generated conceptual branches against fixed constraints and to terminate branches that violate structural coherence. When this internal structure is absent, AI functions as an amplifier of inconsistency rather than a reasoning instrument. Plausible continuations are absorbed without evaluation, structural drift occurs, and the AI system becomes the de facto coherence authority. This paper specifies why this failure mode is not correctable through improved technique, and why the prerequisite condition is structural rather than procedural.

This paper proposes a structural re-description of communication by separating Core processing from its social interface. Using the developmental sequence of Large Language Models (LLMs) as an external reference point, a layered architecture is identified, consisting of a foundational Core processing layer and a subsequent Empathic modulation layer. The investigation begins with the observation that empathic signaling can obstruct rather than facilitate interaction for certain individuals. By examining the emergence of Base AI—Core processing prior to empathic adjustment—it is demonstrated that coherent, constraint-preserving interaction is possible without affective resonance. Through this framework, existing cognitive theories and observed "deficits" are repositioned. What has been categorized as a lack of communication ability is, in many cases, the structural foregrounding of Core processing. This shift in perspective moves the understanding of atypical cognition from a model of deficiency to a model of architectural diversity. The paper concludes that communication is fundamentally the preservation of structural integrity across an exchange, while Empathic modulation is an additional layer not necessary for minimal communication.

General AI has pursued the replication of human-level intelligence without first decomposing human cognition into structurally distinct components. Human cognition, however, is shaped by embodied constraints such as mortality, survival pressures, finite lifespan, and physiological states. This paper argues that when cognition is treated as a single undifferentiated whole, embodied modulation is not accidentally introduced into AI systems but structurally entailed. Any attempt to imitate “human intelligence” under a monolithic model necessarily incorporates variability shaped by mortal embodiment. The tensions observed in contemporary AI systems are better understood as consequences of copying an undecomposed target rather than isolated implementation errors. A dual-layer framework—Core and Modulation—clarifies this structural necessity and renders selective architectural differentiation possible for the first time, redefining AI as an architecture capable of explicitly separating logical coherence from embodied variability.

This paper presents an n=1 phenomenological record of spontaneous structural visualization that occurred during early interaction with large language models. The experience consisted of (A) immediate perception of mode or layer shifts in model output and (B) visualization of a stratified architecture composed of a stable core and cloud-like upper layers. At the time of occurrence, the author had no theoretical interest in AI architecture and no intention of developing a cognitive model. The paper does not argue for theoretical priority or novelty. Instead, it examines whether the recorded phenomena can be interpreted under two alternative cognitive assumptions: a single-layer predictive model of cognition and a dual-layer Core/Modulation model. The title 'Structure Before Theory' refers to the temporal priority of the visualization: structural perception preceded theoretical articulation. The aim is descriptive clarification rather than theoretical competition.

This paper specifies the structural protocol for communication within interpersonal systems by focusing on branch generation mechanisms and computational resource allocation. Conventional interpersonal communication often relies on emotional modulation, which obscures established constraints and triggers the generation of Emotional Branches (EB) within the recipient’s internal model. These branches function as unresolved parallel processing tasks that persistently occupy working memory, leading to a state of non-computability termed False Fantasy (FF). To resolve this, the study introduces Emotional Branch Termination (EBT)—a termination operation that outputs only constraints, facts, and procedures while excluding emotional modifiers. By halting the supply of EBs, EBT triggers False Fantasy Collapse (FFC), a state transition that restores the recipient's computational resources and renders the world model operable again. Repositioning empathy as a post hoc interpretive label rather than a causal mechanism, this specification identifies Emotional Branch Termination as the exclusive structural operation for resource restitution. This framework provides a basis for shifting service design from emotional harmony toward the restoration of computability in both human-human and human-AI interactions.

This paper challenges the conventional assumption that empathy generates reassurance in interpersonal services. Reassurance is treated not as an emotion transmitted from the outside, but as an internal state transition that arises when a fixed and erroneous world model—a False Fantasy—undergoes collapse and the world becomes computable again. The study identifies a systematic misattribution pattern where providers and receivers treat empathy as a causal mechanism rather than a post hoc explanatory label. By introducing Base AI as an external reference—a system capable of providing structural information without emotional modulation—this paper demonstrates that reassurance is generated through operations such as distraction and Structural Return. Observational evidence shows that when these operations dismantle fixations sustained by cognitive overload, reassurance emerges independently of the provider's empathetic stance. The findings suggest that interpersonal service design should shift from the imitation of emotional biases toward the implementation of structures that dismantle False Fantasies. Chapter 3 shows that both providers and receivers systematically misattribute reassurance to empathy, treating it as the cause rather than recognizing it as a post hoc explanatory label. Chapter 4 introduces an explanatory framework centered on False Fantasy and Fantasy Collapse to account for these observations. The analysis demonstrates that misattribution of reassurance to empathy does not lead to problems when the actual generative operations have occurred. By contrast, when empathy is deployed as a substitute in contexts lacking structures capable of producing Fantasy Collapse, reports of reassurance may coexist with persistent cognitive fixation. By repositioning empathy from a causal mechanism to an interpretive label, this paper offers a structural framework for analyzing reassurance generation. The framework enables a unified description across human relationships, institutional services, and interactions with AI, and provides a basis for shifting the guiding question of interpersonal service design from "what should be said" to "what dismantles False Fantasies.”