Volume 21 No 1 (2023)
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PERFORMANCE, ENVIRONMENT, ACTUATORS, AND SENSORS MODEL TO PORTRAY AN INTELLIGENT AGENT MODEL
Gaurav D Saxena, Dr Smita Tukaram Kumbhar, D.Sasikala, Jagadeesh K Assistant Professor, Dept. of Computer Science and Engineerin, Dr. J. Jayakumar, Dr.Sonia.H.Bajaj, Dr. Amit Chauhan
Abstract
Designing intelligent agents that can do functions that are currently considered to need human
intelligence is the focus of the computer science subfield known as artificial intelligence. The
main objective of AI is to make computers better at learning, thinking, and perceiving. It has also
been applied to the imitation or emulation of human intellect by machines. What distinguishes a
computer from an artificial intelligence? An AI is composed of agents, or anything that can sense
its environment. Agents employ sensors to comprehend the environment around them and
actuators to act in it. For instance, computers are utilized as agents in medical diagnosis systems
to process data from patient symptoms, and motors are necessary for the movement of vacuum
cleaners, among other things. Using PEAS, we can better comprehend how these intelligent
robots operate (Peer-to-peer Artificial Intelligence). PEAS enable collaboration between two or
more persons who share a common interest. The AI agent uses the PEAS model to recognize and
comprehend its surroundings. It enables precise evaluations of the agent's performance in
reference to that environment. In this article, we'll examine what an intelligent agent is in more
detail and talk about some of the many contexts that agents may exist in. In order to help you
decide which one could be most appropriate for your project or assignment, we'll also compare
their descriptions
Keywords
PEAS, PAGE, Intelligent Agent, Agent Program, Agent Architecture, Agent Types,Agent-Environment
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