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 swarm up - definizione
![squats]] prior to entering the pool in a U.S. military base, 2011](https://commons.wikimedia.org/wiki/Special:FilePath/Participants with the Water Warrior class perform squats prior to entering the pool at Camp Foster, Okinawa, Japan, July 6, 2011 110706-M-VD776-004 (cropped).jpg?width=200 "squats]] prior to entering the pool in a U.S. military base, 2011")
![A group of [[High School]] girls performing a ballistic stretch in a [[Physical Education]] session](https://commons.wikimedia.org/wiki/Special:FilePath/SMATrinitasGymnastic2.JPG?width=200 "A group of [[High School]] girls performing a ballistic stretch in a [[Physical Education]] session")
![[[Steven Gerrard]] warming up prior to a football match in 2010.](https://commons.wikimedia.org/wiki/Special:FilePath/Steven Gerrard 2010.jpg?width=200 "[[Steven Gerrard]] warming up prior to a football match in 2010.")
Wikipedia
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence.
The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the more general set of algorithms. Swarm prediction has been used in the context of forecasting problems. Similar approaches to those proposed for swarm robotics are considered for genetically modified organisms in synthetic collective intelligence.
