An intelligent agent is a computer entity that functions independently to complete pre-set objectives, using artificial intelligence to analyze and adapt to external stimuli. Complex systems may have child agents working under a master agent. The agent cannot form new responses but can learn to perform actions better within prescribed goals.
An intelligent agent is a computer entity that functions independently and works to complete pre-set objectives. To complete the objectives, the intelligent agent must be able to analyze and adapt to external stimuli; otherwise, it may not be able to accurately achieve the goals. While some simple systems have an agent, complex systems have child agents that work under the master agent to perform a list of child tasks and report directly to the master agent. The agent is commonly capable of learning through artificial intelligence, but the agent is only made to have certain responses to external stimuli and cannot form new responses.
In computer science, an intelligent agent is a section of a system that is operated independently and is commonly implemented with artificial intelligence. Along with this, the agent is programmed to have certain goals, depending on what the system is supposed to do. For example, if your system is an air conditioner, your goals might include cooling the air and turning it on and off as needed. While the system can learn to be more efficient, it cannot go against prescribed goals.
To achieve these goals, the intelligent agent must be able to analyze itself and adapt to situations. With an air conditioning system, the device is made to cool the air, so it needs to be able to analyze the outside temperature. By analyzing the outside temperature and your system, the agent will know when to turn it on or off or adapt to the situation. This also allows the agent to check for errors in its logic, which it can then correct to better serve prescribed goals.
Simple systems usually have an intelligent agent that can easily control all functions. Complex systems may require several intelligent agents, but they are usually assigned a hierarchy to avoid internal logical struggles. Sub-agents perform smaller tasks and are usually governed by a master agent who oversees these tasks and ensures proper functioning of the system.
During its operation, an intelligent agent will typically learn how to best serve its purpose by controlling failure and success rates. While the agent may learn to perform actions better, you can only perform prescribed actions. An air conditioner can’t do a job that isn’t written in its code, like moving around to better cool a room. Just like goals, it cannot change its actions, but it can change how the system performs these actions.
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