Emotional Provenance Learning (EPL) v2.0: An AI Paradigm for Emotional Memory, Cultural Heritage Preservation, and Empathic Reasoning

<b>Emotional Provenance Learning (EPL) v2.0</b>, created by <i>Papillon Pearl – Charlotte Maijala</i>, introduces a new interdisciplinary framework for modeling how humans create, assign, preserve, and inherit emotional meaning across objects, stories, memories, and cultural artifacts. EPL expands beyond traditional affective computing by modeling emotional causality, attachment, lineage continuity, and cultural memory, allowing emotional meaning to be represented as a structured and preservable form of knowledge.Version 2.0 formalizes the core architecture of EPL through four major components:<b>• Emotional Provenance Ledger (EPL™)</b>A structured emotional-memory architecture for encoding emotional context, lineage, narrative events, trauma, restoration, cultural identity, and intergenerational memory transfer.<b>• Emotional Provenance Standard (EPS v1.0 → v2 Integration)</b>A global emotional-metadata standard informed by:<br><b>IEEE 7014</b>, <b>ISO/IEC 30150-31</b>, <b>CIDOC-CRM</b>, and <b>UNESCO Intangible Cultural Heritage</b> principles.<br>EPS establishes ethical guidelines for emotional memory encoding, trauma-safe handling, lineage preservation, and cross-cultural emotional interpretation.<b>• World Emotional Object Graph (WEO Graph)</b>A multi-layered knowledge graph that maps emotional meaning across owners, families, communities, cultures, migrations, and generations. WEO represents emotional markers as nodes, lineage shifts as edges, and emotional intensity through weighted transitions and density indices.<b>• Emotional Lineage Modeling</b>A method for tracing how emotional significance evolves across time. This includes legacy lineage, interrupted lineage, migratory lineage, rewritten meaning, mythic expansion, and communal or ancestral emotional memory.EPL v2.0 establishes emotional provenance as a new field uniting <b>artificial intelligence, psychology, memory science, anthropology, cultural heritage preservation, and narrative theory</b>. It enables:emotional memory preservationcultural and heritage continuityAI empathy modelingdigital heritage reconstructionAlzheimer’s and cognitive support applicationsmuseum and auction provenance enhancementidentity continuity modelingEPL positions emotional meaning as a <b>computable, traceable, culturally anchored form of human knowledge</b> and provides the foundational architecture for future AI systems capable of understanding human identity, memory, and story at depth.