Dual Thinking

Dual thinking, a cognitive framework encompassing both intuitive and analytical processing, is a burgeoning area of research exploring how these distinct modes interact in various tasks, from visual perception to complex problem-solving like AI navigation. Current research focuses on developing computational models that capture this duality, often employing instance segmentation and memory-based graph architectures to better understand and replicate human-like decision-making. Understanding dual thinking has implications for improving AI systems, particularly in areas like object navigation and mitigating risks associated with AI bias, by enabling the development of more robust and human-aligned algorithms.

Papers