Define percepts, actions, and sensors in the context of agents.

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The concept of "agency" in AI refers to the capacity of an AI system to act autonomously and make independent decisions to achieve predefined goals. It means that the AI system can initiate actions, learn from its environment, adapt to changes, and make choices without explicit human intervention. Agency empowers AI systems to behave proactively and intelligently rather than simply following preset instructions or reacting passively.

Here’s a clear definition of percepts, actions, and sensors in the context of AI agents:

1. Percepts

   • Percepts are the pieces of information an agent receives from its environment at a particular instant.

   • They represent the agent’s understanding of the current state of the world.

   • Example: A self-driving car’s percept could be “traffic light is red, car ahead is 10m away, speed is 40 km/h.”

2. Actions

   • Actions are the possible operations or moves an agent can perform to affect its environment.

   • They are the outputs of the agent’s decision-making process.

   • Example: The self-driving car can brake, accelerate, turn left, or turn right.

3. Sensors

   • Sensors are the devices or mechanisms that gather raw data from the environment for the agent.

   • They convert environmental inputs into percepts that the agent can interpret.

   • Example: Cameras, radar, lidar, and GPS act as sensors for a self-driving car.

👉 Flow: Sensors collect data → form percepts → agent processes them → chooses actions → actions affect the environment.

Read more :

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