Terms containing artificial intelligence agent

Subject	English	Russian
AI.	artificial intelligence agent	агент с искусственным интеллектом (Think of artificial intelligence agents as the apps of the artificial intelligence era. microsoft.com, cnbc.com, theguardian.com Alex_Odeychuk)
AI.	artificial intelligence agent	интеллектуальный агент (singularityhub.com Alex_Odeychuk)
progr.	artificial intelligence agent developer	разработчик агентов с искусственным интеллектом (oreilly.com Alex_Odeychuk)
AI.	autonomous artificial intelligence agent	автономный интеллектуальный агент (ieee.org Alex_Odeychuk)
AI.	autonomous artificial intelligence agent	автономный агент с искусственным интеллектом (ieee.org Alex_Odeychuk)
AI.	generative artificial intelligence agent	агент с генеративным искусственным интеллектом (towardsdatascience.com Alex_Odeychuk)
AI.	generative artificial intelligence agent platform	платформа управления агентами с генеративным искусственным интеллектом (towardsdatascience.com Alex_Odeychuk)
AI.	modular artificial intelligence agent	модульный интеллектуальный агент (the artificial intelligence agent that is broken down into sub-agents, each with its own goals and feedback. Each sub-agent is programmed for its own gains, embodying the concept of the artificial intelligence agent as a composite of multiple identities. The separate sub-agents observe their surroundings and learn to select the best option — but only tailored to their own goals. The predicted outcomes are then summed up. The solution with the potential optimal outcome is then selected through a constant state of internal competition among sub-agents when some sub-agents gain and some lose, piloting the modular artificial intelligence agent on to its next choice. Because the artificial intelligence agent is guided only by the winning sub-agent, the losing ones have to go along with a decision they didn't agree with and are forced into a new reality. They then have to rapidly adapt and recalculate the best solution for the next step. In other words, sub-agents often find themselves outside their comfort zone. The unexpected results force them to ponder new solutions—sometimes yielding better results they wouldn't have considered if tackling the problem alone. singularityhub.com Alex_Odeychuk)