Hamilton Ross Easton

Psychological theory often treats causal explanation as incompatible with responsibility, oscillating between moralism and excusal. This paper applies Resolution Theory (RT) to dissolve that false dichotomy. RT understands agency as resolution: the evaluative closure of competing considerations into action within a conscious field. Causal pressures shape the evaluative field but do not negate authorship; responsibility does not require freedom from causation. The central diagnostic distinction is between distortion and bypass. In most psychologically relevant cases, agency is preserved but distorted: resolution occurs through a narrowed, warped, or overloaded evaluative field. Genuine bypass—where evaluative resolution is absent—is rare, limited to states such as unconsciousness, seizures, or true blackout fugue. Responsibility therefore remains binary, grounded in authorship through resolution, while blame and intervention are properly scalar, tracking the degree and persistence of distortion. This framework is applied to addiction, coercive control, therapeutic practice, educational psychology, and psychosocial environments. Addiction is analysed as distortion without bypass, preserving agency while justifying mitigation. Coercive control is shown to collapse the space of live options without eliminating authorship. Therapeutic change is reconceived as the restoration of evaluative coherence and flexibility rather than the enforcement of willpower or denial of agency. By separating explanation from exemption and mitigation from authorship, Resolution Theory offers psychology a precise and humane account of agency under constraint.

Resolution Theory identifies free will with evaluative resolution: conscious value-ranking that closes into action. It preserves authorship within determinism by locating choice inside time, not outside causation. Responsibility is binary (authorship), while blame is scalar and sensitive to distortion, coercion, and epistemic constraint; bypass excuses, distortion mitigates. The framework also blocks responsibility laundering in artificial systems by requiring sponsorship wherever consciousness cannot be verified, and by recommending precautionary safeguards under serious moral uncertainty.

This note addresses a practical question raised by AI-assisted reasoning: how authorship, responsibility, and originality should be understood when a generative system is used in the development of philosophical work. It does not defend AI, claim novelty by default, or assert that the resulting framework is correct. Its purpose is descriptive: to record how Resolution Theory emerged, what role AI played in the process, and which parts of the development chain were human rather than automated. The central claim is that AI served as an instrument for articulation, adversarial challenge, and scope-testing, while the underlying structure and inferences remained the author’s. The note also clarifies the limits of the method, including AI failure modes such as confident error and definitional drift, and describes why sustained adversarial dialogue enabled unusually rapid iteration and refinement.

Architecture of Meaning applies Resolution Theory to culture, art, and aesthetic value. It argues that meaning is not a supernatural add-on, but a structural consequence of agency under temporal exposure: agents must resolve without certainty, across time, while consequences arrive later. Culture is framed as evaluative infrastructure—the shared public ranking system of better and worse that shapes what feels obvious, noble, shameful, or unthinkable, and therefore shapes what people can resolve into. Art is treated as compressed evaluation that trains attention and feeling; beauty is explained as a coherence-signal that stabilises commitment, while propaganda is analysed as counterfeit coherence that can recruit loyalty by detaching aesthetic authority from reality-tracking. The chapter closes by linking cultural health to long-horizon coordination: stable evaluative infrastructure supports coherent agency; degraded infrastructure increases drift, manipulability, and social fragility.

This volume extends Resolution Theory from authorship and responsibility into normativity: how “should,” “must,” “right,” “wrong,” “better,” and “worse” arise within a deterministic world inhabited by agents. The central claim is that normativity is not a new metaphysical substance and not a mere social fiction. It is a structural consequence of agency over time. Wherever there are conscious agents who evaluate alternatives and resolve uncertainty into action, exposure to consequence follows. “Better/worse” tracks stable patterns in that exposure, and “ought” is the constraint-language that emerges when evaluation becomes explicit, shared, and action-guiding among multiple agents. On this basis the volume outlines a minimal ethical core required for coherent multi-agent life: authorship (decisions must be ownable), accountability (consequences must land), coordination (trust and predictability must be possible), and stewardship (the future must not be liquidated for short-term closure). The volume also describes how norms are selected and how misalignment loops form when exposure is hidden, delayed, or distorted—especially across generations. No moral realism is required, no relativism follows, and no metaphysical freedom is assumed: normativity emerges wherever agents must resolve together and live with what follows.

Resolution Theory offers a structural account of agency and responsibility built on a single distinction: explanation is not authorship. Modern disputes about free will, determinism, psychology, coercion, and “systems” persist because they treat causal explanation as if it dissolves responsibility. Resolution Theory rejects this confusion. Responsibility attaches not to the absence of causes, but to the presence of resolution: the point at which uncertainty is closed into action by an agent operating within time. On this model, authorship is binary—either a resolution occurred or it did not—while blame and mitigation vary according to the distortion of the evaluative field. This framework preserves responsibility under deterministic and psychological explanation, clarifies borderline cases such as addiction and compulsion, and prevents excuse inflation without collapsing into moralism. Foundations Volume I establishes the core architecture: agency as resolution, consciousness as evaluative exposure, suffering as the structural consequence of authored action in a resistant world, and normativity as an emergent feature of agents who must act and live with consequences.

Debates about free will, moral responsibility, and normativity are often treated as distinct problems, yet they repeatedly fail in structurally similar ways. This paper argues that these failures arise from a shared mistake: the conflation of causal explanation with moral attribution. I propose Resolution Theory, a framework in which agency consists not in causal indeterminism, rational control, or reasons-responsiveness, but in resolution—the settling of an evaluative field into action by an agent. Resolution marks the point at which events become attributable actions rather than merely explained outcomes. On this account, evaluation and resolution are binary: either an agent settles action, or the agent is bypassed. Degrees apply not to agency itself but to the conditions under which resolution occurs. This distinction allows responsibility to be preserved without appeal to metaphysical freedom, while explaining mitigation in cases of addiction, coercion, trauma, and severe constraint. Such cases involve distorted experiential conditions rather than the disappearance of agency. The paper further argues that suffering functions as first-person evidence of authored commitment meeting resistance, revealing the inseparability of agency and exposure. From this structure, normativity emerges without appeal to mind-independent moral facts or social practices: standards of better and worse arise wherever agents resolve under conditions that can succeed or fail. By separating authorship from explanation and responsibility from mitigation, Resolution Theory dissolves the traditional free will–determinism problem and provides a unified account of agency, responsibility, suffering, and normativity. The framework clarifies long-standing confusions in moral philosophy while offering a stable foundation for legal, clinical, and institutional applications.

Many of the most persistent debates across philosophy, psychology, neuroscience, and artificial intelligence are not genuine disagreements, but cases of thinkers talking past one another. This paper argues that these disputes share a single structural error: the failure to distinguish causal explanation from agential attribution. It introduces Resolution Theory, which locates agency not in causal indeterminacy, motivation, or optimisation, but in the act of resolving deliberation into action. Once this distinction is made explicit, long-standing conflicts—between determinism and free will, neuroscience and responsibility, moralism and medicalisation, depth psychology and humanism, and alignment and agency in AI—largely dissolve. The result is not a new metaphysics, but a unifying clarification of where explanation ends and responsibility begins.

Contemporary AI ethics is dominated by the concept of alignment: the project of ensuring that artificial systems reliably pursue human-specified goals. This paper argues that alignment is conceptually inadequate for grounding agency or responsibility. Treating aligned behaviour as a basis for responsibility commits a category error by conflating optimisation with authorship. The paper develops Resolutionism, an account of agency that locates authorship in the act of resolving deliberation into owned commitment rather than in behavioural sophistication, motivational strength, or causal indeterminacy. On this view, artificial systems may evaluate, optimise, and revise goals, but they do not resolve deliberation in the sense required for moral agency. The paper further introduces the Functional Responsibility Threshold, distinguishing moral agency from regulatory responsibility. While advanced systems may warrant functional responsibility for governance purposes, moral responsibility remains anchored in the human decisions that design, authorise, and deploy them. Resolutionism thus provides a structural foundation for AI ethics that preserves accountability without anthropomorphism.

Debates about addiction and compulsion often oscillate between moralism and medicalisation. Either addicted agents are treated as fully responsible despite severe impairment, or agency is said to be bypassed entirely by neurobiological or environmental causes. This paper argues that both positions rest on a structural mistake. It defends a resolutionist account of agency and applies it to addiction, distinguishing between evaluative distortion and bypass. On this view, agency consists in the resolution of deliberation into action, not in causal indeterminacy or brute self-control. Addiction does not typically bypass this capacity; rather, it distorts the evaluative landscape within which resolution occurs. The paper develops this distinction by analysing the instrumental rationality often exhibited in addictive behaviour, including planning, timing, and strategic concealment. Such patterns are incompatible with bypass models, which characterise behaviour as reflexive or non-agentic. Instead, they demonstrate that resolution remains intact even where evaluation is severely skewed. This allows authorship to be preserved while responsibility is nevertheless significantly mitigated, without collapsing into either excuse or blame. The account clarifies why neuroscientific and social explanations of addiction do not undermine agency but instead map the pressures under which agency is exercised. It also explains why mitigation of responsibility is principled rather than ad hoc. By separating explanation from attribution, the paper offers a framework for understanding addiction that preserves responsibility without denying causation or compassion, and it has implications for legal responsibility, moral evaluation, and clinical intervention.

Many debates about free will and responsibility rest on a simple mistake: the assumption that explaining an action causally must excuse it or replace agency. This paper rejects that assumption. I argue that causal factors load a situation, but agency consists in the act of resolving evaluated possibilities into attributable action. By distinguishing explanation from resolution, the apparent conflict between determinism and responsibility dissolves, clarifying normativity, legal accountability, and the limits of artificial agency.

This paper develops a constitutive account of ethical objectivity grounded in an account of agency as evaluative resolution. Building on the view that choice consists not in the production of behaviour but in the resolution of competing considerations through the endorsement of reasons, it argues that normativity is unavoidable wherever agency exists. Ethical objectivity does not require stance-independent moral facts, divine command, or cultural preference, but arises from the internal constraints of agency itself: agents cannot resolve without already standing under standards of better and worse reasoning. On this basis, the paper explains responsibility, mitigation, and excuse in terms of the integrity of evaluative resolution rather than the mere occurrence of action. Coercion, impairment, and immaturity compromise agency by distorting reasons or limiting evaluative capacity without eliminating free will altogether. The account preserves ethical objectivity without moral realism, avoids relativism, and clarifies the role of law as institutionalised resolution rather than moral metaphysics.

Debates concerning free will and normativity often assume that agency must function as an additional causal force capable of interrupting deterministic explanation. This assumption generates two persistent problems: the compatibility of choice with a deterministic world, and the derivation of normative “oughts” from descriptive facts. I argue that these problems arise from a category mistake. Agency is not a causal input but a distinct logical role: the act of practical resolution. I identify the Hindsight Fallacy—the retrospective illusion that because an action is explainable after the fact, it was not a genuine choice at the time of deliberation. By recognising the temporal asymmetry between forward-looking resolution and backward-looking explanation, free will and normativity are shown to be orthogonal to, rather than in competition with, causal explanations.