Глоссариум по искусственному интеллекту: 2500 терминов. Том 2

wikipedia.org URL: https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence (дата обращения: 10.07.2023)].

Experience replay in reinforcement learning, a DQN technique used to reduce temporal correlations in training data. The agent stores state transitions in a replay buffer, and then samples transitions from the replay buffer to create training data[486 - Experience replay [Электронный ресурс] https://developers.google.com URL: https://developers.google.com/machine-learning/glossary#experience-replay (дата обращения: 16.

06.2023)].

Experimenter’s bias it is the tester’s tendency to seek and interpret information, or give preference to one or another information, that is consistent with his point of view, belief or hypothesis. A kind of cognitive distortion and bias in inductive thinking[487 - Experimenter’s bias [Электронный ресурс] https://developers.google.com URL: https://developers.google.com/machine-learning/glossary#confirmation-bias (дата обращения: 28.

06.2023)].

Expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if—then rules rather than through conventional procedural code[488 - Expert system [Электронный ресурс] https://en.wikipedia.org URL: https://en.wikipedia.org/wiki/Expert_system (дата обращения: 11.07.2023)],[489 - Экспертная система [Электронный ресурс] https://ru.

wikipedia.org URL: https://ru.wikipedia.org/wiki/Экспертная_система (дата обращения: 11.07.2023)].

Expert systems are systems that use industry knowledge (from medicine, chemistry, law) combined with sets of rules that describe how to apply the knowledge[490 - Экспертные системы [Электронный ресурс] https://apr.moscow URL: https://apr.moscow/content/data/6/11 Технологии искусственного интеллекта. pdf стр. 7 (дата обращения: 11.07.2023)].

Explainable artificial intelligence (XAI) is a key term in AI design and in the tech community as a whole.

It refers to efforts to make sure that artificial intelligence programs are transparent in their purposes and how they work. Explainable AI is a common goal and objective for engineers and others trying to move forward with artificial intelligence progress[491 - Объяснимый искусственный интеллект [Электронный ресурс] https://cyberleninka.ru URL: https://cyberleninka.