Artificial Intelligence II

The key objectives of the Artificial Intelligence II Virtual Lab are:
  1. 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.
  2. Enable students to control parameters like branching factor, tree depth, and heuristics to observe how these affect algorithm execution and outcomes in varied scenarios.
  3. Provide students with hands-on experience to analyze and solve AI-related problems by applying algorithms in structured virtual experiments.