Advanced Search Techniques in AI: From Uninformed to Heuristic Methods
Artificial Intelligence (AI) utilizes different search methods to effectively solve intricate problems. This article delves into advanced methods for searching, including uninformed strategies like breadth-first and depth-first search, as well as heuristic-based techniques such as A* and greedy search. The research examines the pros and cons of each approach, their uses, and latest developments. The study emphasizes the effectiveness of heuristic methods in finding better solutions, particularly in extensive and intricate problem domains.
Authors
- Siddhartha P. Sarma (ORCID: https://orcid.org/0000-0001-7619-8904)
- C.K. Gomathy
- V. Geetha
- Mr Neeraja Pranathi
Institutions
- Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (IN)
Publication Details
- Journal
- International Journal of Innovative Research in Computer and Communication Engineering
- Published
- 2025-03-30
- DOI
- https://doi.org/10.15680/ijircce.2025.1303093
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 0.00