Zenodo (CERN European Organization for Nuclear Research)
July 9, 2026
Nagae Mamoru
A disability welfare worker, new to consciousness studies, presents the convergence-point hypothesis as a structural framework for connecting existing theories of consciousness. The hypothesis treats information integration, prediction, representation, neural activity, and behavior as parts of one body-bound causal chain, asking where these processes close. It distinguishes the qualitative character of qualia from the structural skeleton of subjectivity, aiming to clarify how information becomes a subjective event. The hypothesis predicts that conscious nervous systems should have convergence-forming architectures that generate multiple embodied possibilities, make them compete, and narrow them through selection and inhibition into one irreversible event, conserving causal organization across species.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Nagae Mamoru
Consciousness research has focused on how information is generated, integrated, and made available, but has paid less attention to how information ceases to be executable. This paper argues that a finite brain must also cause non-selected neural activity to lose its executability, forming a single present through ordered disappearance: losing signals disappear first, while the winning signal persists to organize perception and action. Conscious experience is not mere information processing; it becomes an event when one activity pattern temporarily survives as the body's organizer while competitors irreversibly lose their status. The paper calls for incorporating Landauer-type information discard into consciousness research, emphasizing that any theory must account for the irreversible disappearance of generated neural activity and the contraction of candidate space.
Zenodo (CERN European Organization for Nuclear Research)
July 3, 2026
Nagae Mamoru
This paper presents a prompt for AI to address the hard problem of qualia—why experiences like redness or pain feel the way they do. Building on earlier work that derived a structural skeleton of subjectivity from minimal physical and biological constraints (a single body, autonomous action, irreversible time, survival constraints), the author pushes AI to consider when information becomes an irreversible event belonging to a single body. Key concepts include convergence point, survival constraint, information disposal, Landauer-type irreversibility, and Umwelt. The prompt asks whether modes of feeling might be shaped by bodily structure, DNA, and sensory organs, similar to how limb number is determined. The author does not claim a solution but tests AI's ability to move toward the qualia problem.
Zenodo (CERN European Organization for Nuclear Research)
June 27, 2026
Nagae Mamoru
Consciousness is not a state but a structural event, akin to a vortex emerging in a fluid system. Subjectivity arises inevitably in causally closed systems when multiple possible trajectories converge into a single realized outcome, irreversibly excluding alternatives. This event, termed Irreversible Exclusive State Commitment (IESC), is a necessary consequence of causal closure, not an optional feature. State-based theories like Integrated Information Theory and Global Workspace Theory cannot account for this irreversible elimination of unrealized possibilities. Attempts to describe consciousness through exhaustive physical states encounter a structural combinatorial explosion beyond the universe's computational capacity. This paper establishes the conceptual foundation for a series deriving minimal structural conditions for subjectivity.
Zenodo (CERN European Organization for Nuclear Research)
June 27, 2026
Nagae Mamoru
Under ten minimal structural requirements—autonomous action, single body, arrow of time, embodiment-constrained processing, multiple behavioral candidates, contrast formation, information discard, Landauer-type irreversibility, single history, and viability-constrained elimination—AI systems repeatedly derive a structure resembling a convergence point where multiple possibilities collapse into a single executable history. This suggests the structural core of consciousness may lie in convergence itself, not integration. Major theories like Global Workspace Theory, Integrated Information Theory, and Predictive Processing may thus describe preparatory stages before convergence rather than the locus of subjectivity. The paper deliberately suspends qualia and phenomenal experience to examine the structural container of subjectivity first.
Zenodo (CERN European Organization for Nuclear Research)
June 27, 2026
Nagae Mamoru
Neuroscience has revealed correlations between brain activity and conscious states, but subjective experience cannot be observed externally, and it remains unclear whether neural descriptions alone can explain its nature. This paper argues that consciousness research suffers from methodological blind spots: a human-centered perspective, excessive focus on brain activity, a bias toward analyzing static states rather than dynamic events, and a tendency to seek additive mechanisms that generate consciousness. It proposes a structural approach that investigates the conditions under which subjectivity may emerge, considering comparisons across biological organisms, body–environment interactions, and sequences of events within irreversible time. Biological information processing may involve selection and elimination that create contrasts in organism–environment interactions. Even if consciousness cannot be directly tracked, the structural conditions for subjectivity can be studied.
Zenodo (CERN European Organization for Nuclear Research)
June 26, 2026
Nagae Mamoru
Consciousness research becomes methodologically unstable when it judges consciousness before defining the structural conditions for subjectivity. The paper argues that the structure of consciousness lies not in integration but in convergence: the irreversible reduction of multiple possible trajectories into a single executable history. Subjectivity must be examined as a structural transition, not merely as a state. Ten minimal structural terms are proposed—autonomous action, single body, arrow of time, embodiment-constrained processing, multiple behavioral candidates, contrast formation, information discard, Landauer-type irreversibility, single lived history, and viability-constrained elimination—which together yield a convergence point. This point corresponds to properties of subjectivity like singularity, non-branching continuity, and temporal irreversibility. Major theories (GWT, IIT, RPT, HOT, Predictive Processing, NCC) need repositioning around this structural container.
Zenodo (CERN European Organization for Nuclear Research)
June 22, 2026
Nagae Mamoru
Many mechanisms of consciousness have been identified, but how they close into a single subjective experience remains unclear. The convergence-point hypothesis proposes that the key is not integration of complexity but reduction: how multiple behavioral possibilities are narrowed into one irreversible event belonging to a single body. Ten natural premises—including autonomous action, a single body, arrow of time, embodiment-constrained processing, information discard, Landauer-type irreversibility, and viability-constrained elimination—when causally closed, form a convergence point. The brain is essential but not the whole structure; the relevant unit is the closed body-bound system. Existing theories are repositioned as partial mechanisms. The hypothesis predicts that conscious nervous systems should exhibit convergence-forming architectures that generate, compete, narrow, and select candidates into one embodied history.
Zenodo (CERN European Organization for Nuclear Research)
June 13, 2026
Nagae Mamoru
Consciousness research becomes methodologically unstable when it tries to judge consciousness before defining the structural conditions under which subjectivity can become fixed. This note proposes ten minimal terms—autonomous action, single body, arrow of time, embodiment-constrained processing, multiple behavioral candidates, contrast formation, information discard, Landauer-type irreversibility, single lived history, and viability-constrained elimination—that derive an engineering-like convergence point: the reduction of multiple possible trajectories into a single executable history. When these constraints are entered into current AI systems, they yield a similar convergence-point structure that displays strong correspondence with structural properties commonly associated with subjectivity, such as singularity, non-branching continuity, and temporal irreversibility. The argument does not attempt to prove qualia or phenomenal experience but infers the structural locus at which subjectivity becomes scientifically inferable.
Zenodo (CERN European Organization for Nuclear Research)
May 23, 2026
Nagae Mamoru
When AI systems are given only nine ordinary keywords that are nearly self-evident for any autonomous embodied organism—such as autonomy, embodiment, irreversible time, behavioral selection, and information discard—they repeatedly derive a structure resembling a convergence point where multiple possibilities collapse into a single executable history. This structural locus corresponds closely to major properties commonly associated with subjectivity, including singularity, non-branching continuity, temporal embedding, irreversibility, embodiment, action coupling, and single-history fixation. The paper does not explain or generate subjectivity itself but presents a reproducible structural phenomenon regarding where subjectivity becomes fixed, and encourages readers to test the prompt on their own AI systems.