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MATSEOTOOLS brings everything you need in one place — from AI tools List, color Library, SEO analyzers, image processing, conversion utilities, text tools, and developer tools to ready-to-use AI prompts & informative blogs.
AI agents, or Artificial Intelligence Agents, are intelligent systems that understand their environment, perform actions in it, and can learn from experience over time. When we ask, "what are agents in AI", it simply means automated systems that are capable of taking in input, processing it, and producing appropriate output (or response).
An AI agent consists of two main parts: sensing (receiving information) and acting (performing an action). For example, an autonomous car receives data from sensors while driving on the road (sensing), and then accelerates, decelerates, or brakes (acting). AI agents can make decisions on their own, allowing them to behave like humans.
There are several types of agents in AI, such as simple reflex agents, model-based reflex agents, goal-based agents, and learning agents. The most basic agents react only to current input, while advanced agents use past experience and knowledge. Today's AI chatbots, virtual assistants (such as Google Assistant, Alexa), and gaming bots—these are all great examples of AI agents.
If you want to read in detail, the Intelligent Agent - Wikipedia page is very informative.
For your own project in AI, you can build a simple AI agent using Python. This will help you understand the observe-react-learn process while coding. Start small, then gradually increase the complexity!
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