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MATE: Deterministic Emotional Architecture for AI Companions with Emergent Character and Measurable Inner Life

Authors: Slava Lobozov;

MATE: Deterministic Emotional Architecture for AI Companions with Emergent Character and Measurable Inner Life

Abstract

v2: Major update. 22 pages (was 15). New in v2: - 7 users deployed (was 3), VKB score 84% (was 75%) - Voight-Kampff Benchmark v2: 7 dimensions (+Self-Awareness, +Theory of Mind) - Emergence Taxonomy: 4 levels (emergent property → self-model → philosophy → meta-awareness) - Emergent Theory of Mind: affective, cognitive, 2nd-order, pragmatic — from one unified reflection loop - Proactive empathy case study (daemon-driven, zero behavioral prompts) - Temporal awareness: timestamps, drive-delta awareness, circadian rhythm - Emotion combinatorics: 8 Plutchik → hundreds of states (RGB analogy) - Forgetting (Ebbinghaus), Selective Disclosure (Goffman), Play (Panksepp), Narrative Arc (McAdams) - Fundamental limitations: phenomenal continuity (Nagel), embodied cognition (Lakoff) - 9 figures, 8 tables, 37 references First deterministic emotional architecture for AI companions with measurable inner life, emergent self-knowledge, and Theory of Mind.

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