Cognitive Heuristic

Cognitive heuristics are mental shortcuts used for efficient decision-making, often employed in complex problem-solving scenarios where exhaustive analysis is impractical. Current research focuses on automatically designing and improving heuristics using evolutionary computation, large language models (LLMs), and reinforcement learning, often within the context of specific optimization problems like task and motion planning, vehicle routing, and database query optimization. These advancements aim to enhance the performance and efficiency of algorithms across diverse fields, from robotics and manufacturing to database management and artificial intelligence, by leveraging the power of both human-inspired strategies and machine learning techniques. The ultimate goal is to create more robust, efficient, and interpretable solutions to computationally challenging problems.