Artificial Intelligence II
The key objectives of the Artificial Intelligence II Virtual Lab are:
- Facilitate a deep understanding of search algorithms such as Uniform Cost Search, Iterative Deepening Depth First Search, A* Search, and Hill Climbing through interactive simulations.
- Enable students to control parameters like branching factor, tree depth, and heuristics to observe how these affect algorithm execution and outcomes in varied scenarios.
- Provide students with hands-on experience to analyze and solve AI-related problems by applying algorithms in structured virtual experiments.