Before going into details about AI Intelligent Agents, let us first study about what an agent actually is in Artificial Intelligence. Anything that perceives things from the environment with the help of sensors and acts upon it through effectors (robotic arm) or actuators are known as
agents. The cycle in which an agent works is: Perceiving, Thinking and then Acting accordingly. A Sensor is a device of the agent which senses the changes made in the environment and it then sends that data to other electronic devices for processing. Hence, an agent sees its environment with the help of these sensors. An Actuator is a component which converts the energy in the machine into motion.
The machine is moved and controlled by these actuators. Electric motors, gears are some examples of actuators. Effectors are the components which finally act on the environment after all the processing. Some examples of effectors are the Robotic arms, legs, display screen, wheels or even wings attached to the machine. An agent can be any of these:
For a Human Agent then the sensors for the human agent are its eyes, ears and the effectors would be legs, hands, or mouth. Similarly, for a Robotic Agent its sensors would be its cameras, range finders and its effectors would be the motors which are attached to it. And if the agent is a Software Agent, then various keystrokes and file content act as sensors and the screen on which the output is displayed after processing acts as actuator. An Intelligent Agent is a goal-oriented agent. It can be referred to as an entity which tries to achieve its goals by acting on the environment with the help of sensors and actuators. These agents are called intelligent because they have a certain level of autonomy with the help of which they learn continuously and perform specific, predictable, and repetitive tasks for the users or different applications. Intelligent Agent – CharacteristicsAI Intelligent agents must show the following characteristics:
Intelligent Agent – StructureAn AI intelligent agent is made up of three main parts. These are as follows:
Hence, we can say that the basic task of AI is to help design such an agent program that is able to implement the agent function. So, an intelligent agent is a concatenation of a good architecture and an agent program. That is, AI Intelligent Agent = Architecture + Agent Program. AI Intelligent Agents – Working ModelIntelligent agents work on the PEAS model. In this model, performance measure defines the success or failure of an agent.
Let us suppose an example to understand this model. Let us suppose an example of a self-driven car. Here, Performance Measures are: Comfort, Safety, Time Taken, Correct Navigation. Environment represents: Roads, Signals, other Vehicles, and Pedestrians Actuators are: Steering Wheel, Brake, Horn, Accelerator, Indicators etc And Sensors are: The Cameras attached, Speedometer of the car, GPS, Odometer etc. Now, the success or failure of this self-driven car depends on its type of performance in relation to the points under the performance measures. AI Intelligent Agents – ApplicationsIn artificial intelligence, intelligent agents have been applied in different real life situations. Some of these applications are as follows:
Final WordsWith more and more advancements in technology AI Intelligent Agents are helping in automation of various time consuming and difficult tasks. With further more efforts intelligent agents can be applied to more complex AI driven devices which would help solve many challenges in the world ahead. What are the types of intelligent agents?Types of intelligent agent. Simple Reflex Agents. ... . Model-Based Reflex Agents. ... . Goal-Based Agents. ... . Utility-Based Agents. ... . Learning Agents. ... . Summary.. Is human intelligent agent?They may be simple or complex — a thermostat is considered an example of an intelligent agent, as is a human being, as is any system that meets the definition, such as a firm, a state, or a biome.
What are the four classes of intelligent agents?What Are the Different Types of Intelligent Agents?. 1 – Simple Reflex Agents.. 2 – Model-Based Reflex Agents.. 3 – Goal-Based Agents.. 4 – Utility-Based Agents.. Learning Agents.. Conclusion.. What are intelligent agents and environment?An intelligent agent is an autonomous entity which act upon an environment using sensors and actuators for achieving goals. An intelligent agent may learn from the environment to achieve their goals. A thermostat is an example of an intelligent agent.
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