game tree search method
C24840
concept
A game tree search method is an algorithmic approach that systematically explores possible moves and their consequences in a game’s decision tree to determine optimal or near-optimal actions.
All labels observed (4)
| Label | Occurrences |
|---|---|
| adversarial search algorithm | 1 |
| game tree search method canonical | 1 |
| game tree search technique | 1 |
| heuristic search algorithm | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: game tree search method
Generated description
A game tree search method is an algorithmic approach that systematically explores possible moves and their consequences in a game’s decision tree to determine optimal or near-optimal actions.
Instances (3)
| Instance | Via concept surface |
|---|---|
| Monte Carlo tree search | — |
| MCTS | heuristic search algorithm |
| alpha–beta pruning | game tree search technique |