If you are interested in AI related news then you must have heard the name AI Agent. It is also possible that you are using an AI agent, but for most people this is a completely new thing. There are still many people who know a lot about AI, but do not know much about AI agents. For such people, we have brought today’s explainer. In this we will tell you what AI agents are, how many types they have and how they work.
What are AI agents?
AI agents are such software systems, which complete any goal or task with the help of AI on the command of the user. They have capabilities of reasoning, planning and memory. They can learn on their own and take their own decisions. They interact with their environment and collect data to accomplish their pre-decided goals. Humans can give them any task, but they decide on their own how to complete it. Some AI agents used in computers can be used for ticket booking and grocery ordering and some can also be seen in real life. Robots, automated drones and self-driving can be considered examples of real life AI agents.
What are the features of AI agents?
Reasoning- AI agents can solve problems and draw conclusions using logic and available information. Apart from this, they can analyze data and identify patterns and take decisions based on evidence and context.
Acting- They can take action on the basis of decision, plan or command. These actions include sending messages, uploading data and starting other processes etc.
Observe- They can understand the context by gathering information from their surrounding environment and can also take decisions on that basis. For observation, they can take the help of computer vision, natural language processing and sensor data analytics.
Planning- Another feature of AI agent is planning. AI agents with planning capabilities can plan the best actions to complete required steps and tasks. In this, they also keep in mind the challenges faced in completing the task.
Collaborating- AI agents can collaborate with humans or other AI agents and machines to accomplish a common goal or task. In this they also need communication, coordination and understanding each other’s point of view.
Self Refining- AI agents have self-refining capabilities, that is, they learn from their experiences and adjust their behavior based on feedback. In this way their performance improves with time.
How do AI agents work?
AI agents work by automating simple tasks and complex tasks. Most agents follow a specific workflow. For this, they understand the instructions or goals given by the user. After this, the task is planned on the basis of goal, so that the user can get the output as per his need. After this, AI agents start their work by dividing that goal into many small tasks. Once the goal is completely understood, he gathers the necessary information. For this, along with using his training data, he also accesses the internet. In many cases, AI agents also interact with other agents or machine learning models. In this way he completes the task by gathering sufficient information and data.
How many types of AI agents are there?
Simple Reflex Agent- They are operated on the basis of pre-fixed methods and data and can complete only fixed simple tasks.
Model Based Reflex Agent- These are slightly advanced than simple reflex agents and have a decision making mechanism. Instead of following any specific rule, he takes decisions by understanding the process.
Goal based agents- They have stronger reasoning capabilities. It compares different methods to complete the task and completes the task by adopting the best method. These are effective for difficult tasks like robotics applications.
Utility Based Agents- These are prepared with the help of reasoning algorithm to give maximum outcome to the user. This agent will compare different scenarios and their pros and cons and give the user the output that will be the most rewarding.
Benefits of using AI agents?
- AI agents increase productivity and efficiency. These agents can work on multiple things at the same time and automate repetitive tasks, which saves user time.
- These agents improve decision making. They can work together, debate ideas and learn from each other, which improves decision making.
- AI agents also increase capabilities. They can face real life challenges on the basis of their strengths. They can interact with people with the help of their tools and keep improving themselves by continuously learning.
How are AI agents different from chatbots?
Many people get confused between AI chatbots and AI agents. Let us tell you that these two are completely different. AI chatbots can only talk and answer questions, whereas AI agents can complete tasks as well as take actions. You can only ask about the weather condition from the chatbot, but after giving instructions, the agent can itself make the routine of your day after seeing the weather condition. The chatbot will respond to your questions, but if the agent is given a goal, it can work on its own.
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