Using AI-Enhanced Cognitive Architecture to Analyze Emotional Processing and Decision-Making Patterns in Synthetic Intelligence Systems
AI-enhanced cognitive architectures allow synthetic intelligence systems to analyze and emulate emotional processing and decision-making patterns. This study investigates the integration of emotional models into AI frameworks to improve decision-making accuracy and human-AI interaction. Results demonstrate significant advancements in empathy simulation, ethical reasoning, and adaptive learning, supporting the development of emotionally intelligent systems.
Institutions
- King Abdullah University of Science and Technology (SA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-03
- DOI
- https://doi.org/10.5281/zenodo.14268826
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 0.00