EmoSync: A Tri-Modular Artificial Intelligence Architecture for Emotional, Ethical, and Memory-Driven Decision Making

EmoSync is a conceptual artificial intelligence architecture designed to integrate emotional intelligence, ethical reasoning, and adaptive memory into decision-making systems. The proposed tri-modular framework consists of three primary components: 1. Emotional Module – evaluates contextual emotional signals and user sentiment.2. Ethical Module – applies rule-based and normative reasoning for responsible AI behavior.3. Memory Module – maintains contextual knowledge and historical interaction patterns. Together, these modules synchronize through a coordination layer to produce balanced and human-aligned decisions. This paper presents the theoretical framework, system architecture, simulation models, and experimental evaluations demonstrating how emotional context and ethical reasoning can influence AI responses in complex scenarios. The work contributes to the growing field of human-aligned artificial intelligence by proposing a modular architecture that may improve trust, adaptability, and interpretability in AI systems.