Editing Openai/693343d7-a38c-8012-a67c-11cbed4c0fd9 (section)

===== - Agents are autonomous decision-makers capable of changing their internal states and behaviors in response to their environment. This capacity to change is built into the very nature of what defines an agent. - Agents adapt to changes in their environment, pursue goals, and make decisions based on internal states, external inputs, and learned experiences. - An agent's change is not merely reactive but often driven by intentionality, adaptation, or learning. For example, in reinforcement learning, an agent learns to change its behavior over time based on feedback (rewards and punishments). =====
* The idea of an agent directly encapsulates the concept of change because agents are designed to evolve or adapt based on their interactions with the environment. This could involve learning from past experiences, modifying internal states (beliefs, intentions), or responding to new stimuli.

Example:
* A robot (agent) can change its behavior over time as it learns about its environment and optimizes its actions to achieve goals (e.g., navigation, task completion).
* An AI model (agent) can change its parameters (e.g., weights in a neural network) through training, making it adapt to new data and improve its performance.