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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…
The analysis highlights Art, Examples and Overview as prominent areas in the source structure around Horizon effect.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
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The extracted context around Horizon effect shows recurring relationship patterns in the source. For example, Horizon effect → AI, Computer Go, Go, In Go, Losing Another extracted example is Horizon effect → major concern for writing an AI capable of even beginner-level play. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
search horizon effect tree queen move depth position computer may positions plies game one quiescence board chess checks many example
TTTA extracted 8 structured relationships around Horizon effect. Examples in this analysis include Horizon effect → is a → major concern for writing an AI capable of even beginner-level play and 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. The table shows each extracted connection, where it came from and its confidence.
| 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 | Losing | 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 |
| Horizon effect | related to Examples | Go | 0.60 | section |
The concept neighborhoods around Horizon effect bring nearby vocabulary together. In this analysis, examples include Horizon, Search and Play. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Horizon effect, one of the stronger structural bridges in this analysis connects Horizon effect with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Horizon effect to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Examples & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Horizon effect · EN edition · Analysis: TopicsToTalkAbout