Explain the concept of an AI agent.
Explain the concept of an AI agent.
322
17-Apr-2025
Updated on 21-Apr-2025
Khushi Singh
21-Apr-2025A system counts as an AI agent when it employs artificial intelligence methods to sense its environment and decide what to do while executing behavioral actions to fulfill particular objectives and tasks. Any device or software system falls under the definition of an AI agent when it demonstrates autonomous self-functionality and mimics human decision processes.
The basic functions of an AI agent consist of three essential parts including perception together with decision-making followed by action.
The agent collects environmental information by means of sensors including camera devices and microphone features alongside additional detector inputs. Perception in software agents operates through gathering input from external elements ranging from websites along with user responses or system received information.
The agent starts decision-making processes following successful environmental perception. Through environmental analysis the system develops its course of action. Reasoning and problem-solving activities determine which course of action will deliver the best results at this point. The recommendation system applies user preference data analysis to propose a specific movie.
At this stage of the process an agent implements the decided strategy. The agent will either take physical actions such as robot object manipulation or software actions such as virtual assistant reminder setting.
The main distinction between AI agents exists between two classifications:
The primary characteristic of reactive agents is their response to environmental changes through already established rules or algorithms. AI agents remain indifferent to events from the past because they neither gain knowledge nor modify their performance for new conditions.
Learning agents better their behavior by using acquired experiences and corresponding feedback. The decision-making processes of these artificial intelligence algorithms become better through time through the application of machine learning algorithms.
The multiple uses of AI agents include Siri virtual assistant operations and self-driving vehicles alongside recommendations services and automated customer support platforms. These systems act as fundamental components in contemporary AI systems because they handle assignments which need self-direction alongside the ability to adjust.