AI Agents
Neuro-Symbolic-Causal Architecture for Robust AI Agents
New research proposes integrating neural networks, symbolic reasoning, and causal inference into a unified architecture for AI agents that can handle complex multi-objective tasks with improved robustness beyond traditional prompt engineering.