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Explore advanced search algorithms and optimization techniques in this artificial intelligence lecture that covers Assignment 2 implementation details and performance improvements. Learn about actions and paths in search problems, understand heuristic functions for guiding search algorithms, and examine connectivity concepts including connected breadth-first search and connectivity checking methods. Discover optimization strategies for search algorithms, including tie-breaking mechanisms for F values and bidirectional search approaches that can significantly reduce computational complexity. Follow along with a comprehensive code overview and hands-on demonstration of the Search_Student implementation, then master debugging techniques using browser-based debugging tools for AI algorithm development and troubleshooting.
