Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT
In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:
- come viene usata la parola
- frequenza di utilizzo
- è usato più spesso nel discorso orale o scritto
- opzioni di traduzione delle parole
- esempi di utilizzo (varie frasi con traduzione)
- etimologia
Cosa (chi) è finite horizon problem - definizione
![46 billion]] comoving [[light-year]]s away. However, when the light was emitted the universe was much younger (300,000 years old). In that time light would have only reached as far as the smaller circles. The two points indicated on the diagram would not have been able to contact each other because their spheres of causality do not overlap.](https://commons.wikimedia.org/wiki/Special:FilePath/Horizon problem.svg?width=200 "46 billion]] comoving [[light-year]]s away. However, when the light was emitted the universe was much younger (300,000 years old). In that time light would have only reached as far as the smaller circles. The two points indicated on the diagram would not have been able to contact each other because their spheres of causality do not overlap.")
![This spacetime diagram shows how inflation changes the light cones for two light particles spaced some distance apart at the time of last scattering (ls) to allow them to intersect. In this scenario, they are in causal contact and can exchange information with one another. The horizontal axis is comoving distance, the vertical axis is conformal time, and the units have the speed of light as 1. For [http://courses.las.illinois.edu/spring2020/astr507/ reference].](https://commons.wikimedia.org/wiki/Special:FilePath/Spacetime Diagram with Inflation.png?width=200 "This spacetime diagram shows how inflation changes the light cones for two light particles spaced some distance apart at the time of last scattering (ls) to allow them to intersect. In this scenario, they are in causal contact and can exchange information with one another. The horizontal axis is comoving distance, the vertical axis is conformal time, and the units have the speed of light as 1. For [http://courses.las.illinois.edu/spring2020/astr507/ reference].")
![This spacetime diagram shows how the light cones for two light particles spaced some distance apart at the time of last scattering (ls) do not intersect (i.e. they are causally disconnected). The horizontal axis is comoving distance, the vertical axis is conformal time, and the units have the speed of light as 1. For [http://courses.las.illinois.edu/spring2020/astr507/ reference].](https://commons.wikimedia.org/wiki/Special:FilePath/Spacetime Diagram without Inflation.png?width=200 "This spacetime diagram shows how the light cones for two light particles spaced some distance apart at the time of last scattering (ls) do not intersect (i.e. they are causally disconnected). The horizontal axis is comoving distance, the vertical axis is conformal time, and the units have the speed of light as 1. For [http://courses.las.illinois.edu/spring2020/astr507/ reference].")
![The blue circle is the CMB surface which we observe at the time of last scattering. The yellow lines describe how photons were scattered before the epoch of recombination and were free-streaming after. The observer sits at the center at present time. For [http://courses.las.illinois.edu/spring2020/astr507/ reference].](https://commons.wikimedia.org/wiki/Special:FilePath/Surface of Last Scattering.png?width=200 "The blue circle is the CMB surface which we observe at the time of last scattering. The yellow lines describe how photons were scattered before the epoch of recombination and were free-streaming after. The observer sits at the center at present time. For [http://courses.las.illinois.edu/spring2020/astr507/ reference].")
Wikipedia
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 five plies, there is a possibility that it will make a detrimental move, but the effect is not visible because the computer does not search to the depth of the error (i.e., beyond its "horizon").
When evaluating a large game tree using techniques such as minimax with alpha-beta pruning, search depth is limited for feasibility reasons. However, evaluating a partial tree may give a misleading result. When a significant change exists just over the horizon of the search depth, the computational device falls victim to the horizon effect.
In 1973 Hans Berliner named this phenomenon, which he and other researchers had observed, the "Horizon Effect." He split the effect into two: the Negative Horizon Effect "results in creating diversions which ineffectively delay an unavoidable consequence or make an unachievable one appear achievable." For the "largely overlooked" Positive Horizon Effect, "the program grabs much too soon at a consequence that can be imposed on an opponent at leisure, frequently in a more effective form."
Greedy algorithms tend to suffer from the horizon effect.
The horizon effect can be mitigated by extending the search algorithm with a quiescence search. This gives the search algorithm ability to look beyond its horizon for a certain class of moves of major importance to the game state, such as captures in chess.
Rewriting the evaluation function for leaf nodes and/or analyzing more nodes will solve many horizon effect problems.
