Distributed problem solving involves multiple autonomous agents or systems working collaboratively to solve complex problems that are difficult or impossible for a single agent to address alone. This approach leverages the strengths of decentralized and parallel processing, enabling more efficient and scalable solutions through coordination and communication among the agents.