How many types of agents are there in Artificial Intelligence?
Answer»
Simple Reflex Agents: Simple reflex agents ignore the HISTORY of the ENVIRONMENT and its interaction with the environment and act entirely on the current situation.
Model-Based Reflex Agents: These models perceive the world according to the predefined models. This model also keeps track of internal conditions, which can be adjusted according to the changes made in the environment.
Goal-Based Agents: These kinds of agents react according to the GOALSGIVEN to them. Their ultimate aim is to REACH that goal. If the agent is provided with multiple-choice, it will select the choice that will make it closer to the goal.
Utility-based Agents: Sometimes, reaching the desired goal is not enough. You have to make the safest, easiest, and cheapest trip to the goal. Utility-based agents chose actions based on utilities (preferences set) of the choices.
Learning Agents: These kinds of agents can learn from their experiences.