Types of Agents in AI

In Artificial Intelligence, agent types are classified based on how they perceive their environment and make decisions. The five main types of agents are:

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✅ Types of Agents in AI

1. Simple Reflex Agent

2. Model-Based Reflex Agent

3. Goal-Based Agent

4. Utility-Based Agent

5. Learning Agent

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1. 🧠 Simple Reflex Agent

➤ Explanation

• Acts only on the current percept.

• Ignores the history of percepts.

• Uses condition–action rules (“if condition then action”).

• Suitable only for fully observable environments.

Block Diagram:

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2. 🧠 Model-Based Reflex Agent

➤ Explanation

• Maintains an internal state based on the history of percepts.

• Uses a model of the world to handle partially observable environments.

Block Diagram:

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3. 🎯 Goal-Based Agent

➤ Explanation

• Chooses actions by considering future consequences and goals.

• Uses search and planning to achieve the desired goal.

• More flexible than reflex agents.

Block Diagram:

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4. 📈 Utility-Based Agent

➤ Explanation

• Chooses the best action among multiple alternatives.

• Uses a utility function to measure happiness/satisfaction.

• Balances conflicting goals and handles trade-offs.

Block Diagram:

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5. 📚 Learning Agent

➤ Explanation

• Can learn from experience and improve performance over time.

• Consists of a learning element, a performance element, a critic, and a problem generator.

Block Diagram:

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📌 Summary Table

Agent Type	Memory	Uses Goals	Utility	Learning
Simple Reflex	❌	❌	❌	❌
Model-Based Reflex	✅	❌	❌	❌
Goal-Based	✅	✅	❌	❌
Utility-Based	✅	✅	✅	❌
Learning Agent	✅	✅	✅	✅