(14th-March-2020)
The definition of a belief state is very general and does not constrain what should be remembered by the agent. Often it is useful for the agent to maintain some model of the world, even if its model is incomplete and inaccurate. A model of a world is a representation of the state of the world at a particular time and/or the dynamics of the world.
One method is for the agent to maintain its belief about the world and to update these beliefs based on its commands.
An alternative is to use perception to build a model of the relevant part of the world.
Embedded and Simulated Agents
An embedded agent is one that is run in the real world, where the actions are carried out in a real domain and where the sensing comes from a domain.
A simulated agent is one that is run with a simulated body and environment; that is, where a program takes in the commands and returns appropriate percepts. This is often used to debug a controller before it is deployed.
A agent system model is where there are models of the controller (which may or may not be the actual code), the body, and the environment that can answer questions about how the agent will behave. Such a model can be used to prove properties of agents before they are built, or it can be used to answer hypothetical questions about an agent that may be difficult or dangerous to answer with the real agent.
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