Hybrid Symbolic-Connectionist Planning: Integrating Logic and Learning for Scalable Decision-Making

As artificial intelligence systems move from narrow tasks to complex, real-world environments, planning and decision-making have become increasingly challenging. Modern AI agents must reason over rules, constraints, and long-term goals while also handling uncertainty, noisy data, and dynamic conditions. Traditional…