The relationship between an agent and its environment is the foundation of AI.
This interaction can be described as a continuous cycle:
- Perception: The agent observes the environment.
- Decision: The agent reasons and chooses an action.
- Action: The agent executes its chosen behavior.
- Feedback: The environment responds, providing new information.
For example, a cleaning robot perceives dust, moves to that location, cleans it, and then updates its internal map.
This feedback loop allows the agent to adapt and function intelligently in dynamic conditions.
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