What are AI Agents: Here's What They Are and How They Work

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Progress tArtificial intelligence (AI) technology brings various innovations that make human life easier. One of the breakthroughs that attracts attention is the concept of AI agents. 

This technology is predicted to be able to carry out various human tasks automatically, from helping find information, managing schedules, to solving complex problems. 

However, what exactly are AI agents, how do they work, and what are the types? Follow the review in this article.

What are AI Agents?

AI agents are systems or software that are capable of carrying out tasks independently on behalf of users or other systems. AI agents are designed to understand the environment, make decisions, and take actions based on goals set by humans.

This technology utilizes natural language processing capabilities (Natural Language Processing/NLP) of large language models (Large Language Models/LLMs) to understand user input, plan work steps, and utilize external tools when necessary. 

Examples of applications include virtual assistants, IT process automation, and large-scale decision making.

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How Do AI Agents Work?

How AI agents work can be summarized in three main stages. You can find out below:

1. Initialization and Goal Planning

AI agents require goals set by the user. After receiving the goal, the agent will divide the main task into several small tasks to improve completion efficiency. 

For example, if asked to plan a vacation, the agent will break down the task into searching for plane tickets, booking hotels, and looking for recommendations for activities.

2. Utilization of External Tools

AI agents often do not have all the information they need. Therefore, they use external tools such as databases, APIs, or other agents to obtain additional information. 

For example, when asked to predict the best weather for surfing, agents can access historical weather data and collaborate with specialized agents who understand surfing conditions.

3. Study and Reflection

AI agents continually learn from user experience and feedback. New information received will be stored in a database to improve future responses. 

This process is known as iterative refinement, where the agent gradually refines its capabilities to provide more accurate and relevant results.

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Types of AI Agents

AI agents are categorized based on their level of intelligence and capabilities. The following are the types of AI agents that you should know:

1. Simple Reflex Agents: These agents act based on current conditions without memory or adaptability. Example: A thermostat that turns on automatically when the temperature reaches a certain limit.

2. Model-Based Reflex Agents: This agent uses memory to store previous information and update the internal model. Example: A cleaning robot that avoids furniture while cleaning a room.

3. Goal-Based Agents: These agents not only understand conditions, but also work towards specific goals. Example: A navigation system that finds the fastest route to a destination location.

4. Utility-Based Agents: In addition to achieving goals, these agents select actions that provide maximum benefits based on certain criteria. Example: A navigation app that optimizes routes based on time, cost, and fuel efficiency.

5. Learning Agents: These agents can learn from experience, adapt to new environments, and improve capabilities over time. Example: Increasingly accurate online shopping recommendations based on user habits.

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Conclusion

AI agents are advanced technology that promises to revolutionize the way humans complete tasks. With the ability to understand, plan and learn, these agents can be extremely useful tools in a variety of areas, from time management to complex decision making. 

However, even though this technology continues to develop, it is important to understand that AI agents are still in the development stage and have certain limitations.

FAQ About AI Agents

1. What are AI agents?

AI agents are artificial intelligence systems that can carry out tasks automatically based on user goals.

2. How do AI agents work?

AI agents work through three main stages: goal initialization, utilization of external tools, and learning from feedback.

3. What are the main benefits of AI agents?

AI agents help complete tasks efficiently by minimizing human intervention, thereby increasing productivity.

4. Are AI agents safe to use?

Most AI agents are designed with high security protocols, but users still need to be aware of privacy and data risks.

5. What is the future of AI agents?

As technology continues to develop, AI agents are predicted to become increasingly autonomous and able to complete more complex tasks.

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Reference 

IBM, What are AI agents?, accessed December 20, 2024.

TechCrunch, What exactly is an AI agent?, accessed December 20, 2024.

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