This upload presents the Phenomenological Ontology Framework for Human Memory Generation, a conceptual and non-empirical framework that formalizes how memory is generated, appears, and becomes meaningful as lived experience. The framework departs from standard cognitive models that define memory primarily in terms of encoding, storage, and retrieval. Instead, it operates at a phenomenological level of explanation, describing the minimal structural conditions under which memory first appears, remains intrinsically vague, fragments across experiential domains, and is later constructed into meaningful wholeness. Memory generation is modeled as beginning with intent, understood as a pre-attentive activation condition rather than goal-directed attention or representation. Intent initially appears in a sound-like, pre-articulatory form and subsequently enters a dominant experiential domain (e.g., thought-like, visual-like, sound-like, or bodily). Within each domain, memory appears as vague-like and whole only from that domain’s perspective. Fragmentation is therefore not treated as failure or loss, but as wholeness-in-perspective. A central claim of the framework is that a whole memory integrating all sensory domains does not exist. What is ordinarily referred to as “a memory” is an interpretive construction, arising through the relational construction of a single domain or a limited subset of domain-specific memories. Construction does not add content, does not store memory, and does not produce total integration. Wholeness emerges as a relational and interpretive outcome rather than as an accumulated or precise representation. The framework is explicitly non-neuroscientific, non-metaphysical, and epistemically modest. It does not propose mechanisms, neural substrates, or empirical predictions. Instead, it provides a phenomenological ontology of appearance, clarifying structural distinctions between generation, construction, and experiential access. The work is formally synchronized with a First-Order Logic representation (PFOL), a Procedural Construction Semantics layer, and a Phenomenological Access layer, each maintaining strict non-reduction and non-redundancy constraints. This version is released as v1.0 to establish an immutable conceptual reference point. It may serve as a theoretical foundation for phenomenological research, conceptual analysis in cognitive science, and exploratory work in reflective or non-storage-based memory modeling, including interdisciplinary contexts such as human–machine interaction and reflective AI architectures.
joni fat (Thu,) studied this question.
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