| | Algorithm | Purpose | |---|---|---| | 3 | A* | Optimal search | | 5 | Minimax | Game playing (with α-β pruning) | | 9 | Resolution | Logical inference | | 14 | Variable Elimination | Bayesian network inference | | 18 | ID3 | Decision tree learning | | 21 | Q-Learning | Reinforcement learning |
N-Queens, VLSI layout, scheduling
The official publisher, , provides a secure instructor’s resource center. However , you generally need a verified .edu email address and proof of teaching status to access these.
| | Algorithm | Purpose | |---|---|---| | 3 | A* | Optimal search | | 5 | Minimax | Game playing (with α-β pruning) | | 9 | Resolution | Logical inference | | 14 | Variable Elimination | Bayesian network inference | | 18 | ID3 | Decision tree learning | | 21 | Q-Learning | Reinforcement learning |
N-Queens, VLSI layout, scheduling
The official publisher, , provides a secure instructor’s resource center. However , you generally need a verified .edu email address and proof of teaching status to access these. artificial intelligence a modern approach third edition ppt
