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Intelligent Agent (Agents Environments (Episodic / Non-Episodic: The…
Intelligent Agent
Agents Environments
Episodic / Non-Episodic: The performance of an agent is dependent on a number of discrete episodes, with no link between the performance of an agent in different scenarios
Deterministic /Non-deterministic: In which the next state of the environment is completely determined by the current state
Static / Dynamic: A static environment is unchanged while an agent is reflecting. • A dynamic environment is one that has other processes operating on it.
Accessible/Inaccessible: In this environment the agent can obtain complete, accurate information about the state.
Discrete / Continuous: Environment is discrete if there are a fixed, finite number of actions and percepts in it.
Classes of IA
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Simple Reflex Agent: Act on the basis of the current precept. Based on the condition action rule: if condition then action.
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Utility-Based Agent: It measures how desirable a particular state is through the use of utility function.
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