What is uninformed search in artificial intelligence?

Uninformed search in Artificial Intelligence refers to search strategies that explore the solution space without any additional knowledge about the problem beyond its definition. These algorithms, such as breadth-first search and depth-first search, systematically examine possible states or paths to find a solution. Since they do not use heuristics or domain-specific knowledge, uninformed searches can be less efficient, often requiring more time and resources compared to informed search methods. They are typically easier to implement but can struggle with large or complex problem spaces.