Artificial Intelligent Programming

The goal is to implement some really interesting concepts of the artificial intelligence programming to the real world scenarios.

Programs done so far:
1.Search algorithms: Implement BFS, DFS and GBFS on a ATM graph.
2.BlocksWorld: Solve blocksworld problem using A* algorithm.
3.Simulated Annealing: Using SA algorithm to solve the TSP problem for visiting 53 cities in Texas.
4.Constrain Satisfactions: Making CSP solver using backtracking and MRV heuristics.
5.Othello: Intelligent othello game playing using minimax and alpha-beta pruning.
6.Resolution Refutation: Solving Sammy's Sport shop problem by a propositional theorem using resolution refutation.
7.DPLL: Using boolean satisfiability solver to solver Farmer, Fox, Chicken and Grain problem.
8.Goal Regression: Simplified goal regression algorithm for doing planning in Blocksworld.