Agent architecture refers to the design of computer programs that act like "agents" or helpers to perform certain tasks. An agent is like a little robot inside a computer that can do things on its own, without being told every step of what to do.
Imagine you had a little robot assistant that helped you with your homework. It can read and write, and it can solve simple math problems. To use your robot, you give it some instructions like "read this page of the book and summarize it for me" or "solve this multiplication problem". Your robot will then carry out the instruction and give you the summary or the answer.
In computer programming, an agent is similar to this little robot. It can perform tasks automatically, without requiring constant supervision or input from a human operator. With an agent architecture, you create a program that embodies an intelligent agent, which can operate autonomously and carry out tasks on behalf of a user or another application.
The architecture of an agent program is designed to enable it to perform these tasks effectively and reliably. It is composed of different components like sensors, actuators, and decision-makers that work together to enable the agent to interact with the environment and achieve its goals.
The sensors detect changes in the environment, such as the arrival of new information or the completion of a task. The actuators take actions in response to these changes, performing tasks or generating new outputs. The decision-maker evaluates the changes detected by the sensors, and the current state of the agent's goals and chooses appropriate actions for the actuators to perform.
In summary, agent architecture is like programming a little robot to perform tasks on its own. The robot relies on a well-designed set of tools and sensors to detect changes in the environment, and a decision-maker to evaluate and respond to these changes. Through this approach, agents can operate autonomously, making them useful for a wide variety of applications in computer science and beyond.