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

===== The relationship between agents and entities is best viewed as a continuum: =====
* Entities (Passive): These are objects or beings that exist but do not make decisions or initiate actions. They can respond to external events, but they do so without intent, purpose, or autonomy. Examples: a rock, a passive resource in a database, an object in a classical physics model.
* Agents (Active): These are entities with autonomy, decision-making capabilities, and the ability to interact with their environment in a goal-directed way. They process information, adapt, and learn. Examples: humans, robots, software agents in multi-agent systems, animals.
* Active but Non-Decision-Making Agents: There are also cases where entities exhibit activity but do not have full decision-making capabilities. These could still be thought of as agents, but in a passive, reactive way. For example, a statistical model or a system driven by fixed rules might behave as an "agent," but it only reacts based on the inputs without conscious decision-making or learning. This can be seen in predictive models or automated systems that follow pre-determined logic without adaptation.