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The horizon effect, also known as the horizon problem, is a problem in artificial intelligence whereby, in many games, the number of possible states or positions is immense and computers can only feasibly search a small portion of them, typically a few plies down the game tree. Thus, for a computer searching only a fixed number of plies, there is a…
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search horizon effect tree queen move depth position computer may positions plies game one quiescence board chess checks many example
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Horizon effect | is a | major concern for writing an AI capable of even beginner-level play | 0.90 | text |
| minimax with alpha-beta pruning | instance of | but a threat being beneath the horizon and hence unseen.When evaluating a large game tree using techniques | 0.80 | text |
| search depth is limited for feasibility reasons | instance of | but a threat being beneath the horizon and hence unseen.When evaluating a large game tree using techniques | 0.80 | text |
| Horizon effect | related to Examples | In | 0.60 | section |
| Horizon effect | related to Examples | This | 0.60 | section |
| Horizon effect | related to Examples | However | 0.60 | section |
| Horizon effect | related to Examples | Losing | 0.60 | section |
| Horizon effect | related to Examples | As | 0.60 | section |
| Horizon effect | related to Examples | If | 0.60 | section |
| Horizon effect | related to Examples | AI | 0.60 | section |
| Horizon effect | related to Examples | In Go | 0.60 | section |
| Horizon effect | related to Examples | Computer Go | 0.60 | section |
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