一個小小工程師的心情抒發天地

Simple Reflex Agents

• Actions rely purely on condition-action rules.
• Also called memory-less or state-less.
• Works only if the correct decision can be made on the basis of only the current percept.
• Works only if the environment is fully observable.
• Often trapped in infinite loops if the environment is partial observable.

Model-Based Reflex Agents

• Handle partial observability by keeping track of the part of the world it can’t see now.
• Maintain internal states to model the world.
• The model of the world represents the agent’s best guess(es).
• Internal states can also be used to maintain the status of the agent instead of the world.

Goal-Based Agents

• Instead of using condition-action rules, the agent uses goals to decide what action it does.
• Search( bottom-up ) and planning (top-down).

Utility-Based Agents

-     Utility function: Happiness of the agent.

-     Maximizing the expected utility.