Types of Search Algorithms
Last updated
Last updated
Search algorithms are essential tools in artificial intelligence, enabling agents to systematically explore a problem space to find solutions.
Based on the nature of the problem and the availability of information, search algorithms can be broadly classified into two categories: Uninformed (Blind) Search and Informed (Heuristic) Search. This chapter delves into these categories, exploring their characteristics, applications, and examples.
Understanding the types of search algorithms in AI is crucial for selecting the right approach for a given problem. Uninformed search offers a straightforward, brute-force methodology suitable for simpler tasks, while informed search leverages domain knowledge to efficiently tackle complex challenges. Beyond these, advanced techniques open doors to solving real-world problems in diverse domains, from robotics to optimization and decision-making systems.
