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

===== The actor is central to the Theory of Change in dynamic systems. Both agents and entities contribute to system evolution, but the degree of autonomy and intentionality differ: =====
* Entities, though capable of change, undergo external-driven changes and follow external forces or predefined rules.
* Agents engage in self-directed change, adapting based on internal goals, beliefs, and learning.

The actor concept allows for:
* Dynamic Interactions: Both agents and entities can interact with each other, creating emergent behaviors. Agents may influence or manipulate entities to achieve their goals, while entities provide the resources or context for agents' decisions.
* Feedback Loops: Actors, whether agents or entities, can influence their own state or the system's state via feedback loops (e.g., control theory, cybernetics, or reinforcement learning).
* Emergent Complexity: The system as a whole can evolve through interactions between actors, with agents playing a critical role in driving complex emergent patterns. Entities may serve as resources or environmental conditions that facilitate or constrain agent behavior.