AI Agents (Agent AI)
Agency AI is a subspecies of generative artificial intelligence for highly specialized tasks, both in the virtual/digital environment and in the real physical world. It is a concept that combines the cognitive abilities of AI and the mechanisms of active interaction with the physical or virtual world.
Main article: Generative artificial intelligence
Agent AI is able to interact with the outside world, predict actions and act autonomously.
How agency AI works for the physical world
- The agent receives data from the environment through sensors, cameras, microphones, or APIs.
- The findings are analyzed using machine learning algorithms, neural networks or other methods based on previously trained models.
- Based on the processed data, the agent selects the actions that will lead to the fulfillment of its goal, breaking the task into subtasks.
- The agent performs the selected action using physical devices (robots, manipulators) or software (process control, content generation).
- Collect telemetry progress data for error correction.
Why agency AI is needed
- Agency AI allows you to automate complex and monotonous tasks, reducing manual labor costs. This applies to both work in the digital space and in the real world.
- By quickly analyzing large amounts of data, agent AI can find optimal solutions in real time, minimizing errors and improving performance.
- Software agents can analyze user preferences and tailor their work to selected interaction and behavior patterns.
| The site content is translated by machine translation software powered by PROMT. The machine-translated articles are not always perfect and may contain errors in vocabulary, syntax or grammar. Read original article If you find inaccuracies or errors in the results of machine translation, please write to editor@tadviser.ru. We will make every effort to correct them as soon as possible. |