Which method is known for solving problems too complex for human experts?

The method that is specifically known for solving problems that are too complex for human experts is expert systems. These systems are a branch of artificial intelligence designed to mimic the decision-making ability of a human expert in a specific field. They utilize a set of rules and knowledge base to analyze information, draw conclusions, and provide recommendations or solutions to various problems.

Expert systems can process vast amounts of data and consider numerous variables that may overwhelm a human analyst. They are particularly effective in fields such as medicine, engineering, or finance, where the complexity of the decisions and the volume of information can be daunting for individual experts to handle alone. By leveraging the accumulated knowledge within their databases, expert systems can operate efficiently, providing answers based upon established rules and best practices that have been encoded into them.

In contrast, while artificial intelligence encompasses a broader range of technologies and methodologies that may also address complex problems, it doesn't specifically focus on the expert-level decision-making consistent with the definition of expert systems. Decision support systems are more geared toward assisting human decision-making rather than replicating it entirely. Similarly, statistical analysis systems focus on data interpretation and statistical methods but lack the structured rule-based reasoning that characterizes expert systems.