In artificial intelligence (AI), search algorithms are essential for solving a variety of problems, from navigating a maze to scheduling tasks. Uninformed search, also known as blind search, is a fundamental category of search techniques where the algorithm has no additional information about the states beyond what is provided in the problem definition to guide the search. This page delves into the basics of uninformed search algorithms, their types, and their applications in AI. Understanding Uninformed Search Uninformed search algorithms explore the search space without any guidance on which paths might lead to the goal more efficiently. They rely solely on the information available from the initial problem setup, such as the start state, goal state, and possible actions. This approach contrasts with informed search algorithms, which utilize heuristics to make more educated guesses about the best path to take. Types of Uninformed Search Algorithms   Several uninformed search stra