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AISC subj Exp1 - Identification of the problem, Defining PEAS Description and Problem formulation.
Course: Computer Science, Engineering (CSC502)
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Students shared 41 documents in this course
University: Datta Meghe Institute of Medical Sciences
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Experiment 1
Aim: Identification of the problem, Defining PEAS Description and Problem
formulation.
S/W Used: Case Study
Theory:
1.1
Specifying Task Environment
Task environments, which are essentially the "problems" to which rational agents are the
"solutions.” In designing an agent, the first step must always be to specify the task
environment as fully as possible with the help of PEAS (Performance, Environment,
Actuators, Sensors) description.
With educational institutes closed due to the COVID-19 pandemic, the government has
been encouraging online education to achieve academic continuity. Most high-end
private and public institutions have made the switch smoothly using online platforms
such as Zoom, Google classrooms, Microsoft teams, etc.
1.2
PEAS
PEAS stands for “Performance Environment Actuator Sensor”. It is used to specify the
setting for an intelligent agent design. PEAS is a type of model on which an AI agent
works upon. An Interactive Tutor will make sure to identify problem areas, prepare
strategies, schedule periodic doubt solving session so the students can achieve the best
results.
Agent: Refinery Controller
P = Maximum Purity, yield, safety
E = Refinery, operators
A= Valves, Pumps, Heaters, Displays
S = Temperature, Pressure, Chemical sensors