When we are specifying agents we need to specify performance measure, the environment and the agent's sensors and actuators. We group all these under the heading of the task environment.
Designing
an Agent System
When
we are specifying agents we need to specify performance measure, the
environment and the agent's sensors and actuators. We group all these under the
heading of the task environment.
For the acronymically we call this PEAS ([P]erformance, [E]nvironment,
[A]ctuators, [S]ensors) description.
1)
Define problem area (i.e. task environment) in complete manner. Example-Vaccum
world, automated face recognition, automated taxi driver.
2)
Define or tabulate PEAS.
3) Define
or tabulate agent functions (i.e. percept sequence and action column)
4)
Design agent program.
5)
Design an architecture to implement agent program.
6)
Implement an agent program.
The
agent system may be single agent or multiple agents system.
If
system is multiagents then we need to consider communication, co-operation
strategies among multiple agents.
1)
General Purpose (uses for common man)
II)
Industrial Business Purpose:
III)
Scientific Research Purpose
IV)
Medical Purpose
V)
Educational Purpose
Agent
Interactive English Tutor
1)
The [P]erformance Measures:
The
Interactive English Tutor agent system must achieve the following
performance measures.
1) All the student must get maximum knowledge
regarding English subject, such as vocabulary, verbal soft skills, (i.e.
communicational skill), reading, writing skills.
2)
All the students must score good marks in the English test.
II)
The [E]nvironment:
In
Interactive English Tutor agent system environment has following properties:-
1)
All the students having different grasping power and IQ (Intellectual
Quotient).
2)
Software modules which gives demonstration.
III)
The [A]ctuators (Actions):
The
software model (agent program) will be executed on the agent architecture.
(i.e. operating system). The actions performed by interactive English tutor
are,
1)
Audio / video demonstration on different topics.
2)
Practical assignment on verbal written skills, report generation, letter
writing, etc.
3)
Monitoring and inspection (i.e. checking) of the practical assignment provided
with suggestions and corrections, to students.
4)
Online test conduction and result analysis.
5)
Student's speech and video recording.
IV)
The [S]ensors:
Sensor
plays a crucial role in interactive English tutor agent system. The following
sensor are required to support sequence of perception:-
1)
Keyboard for providing input events.
2)
Mouse for GUI interface.
3)
Headphone for listening and mike for audio recording.
4)
Video/web camera's for video shooting.
Artificial Intelligence and Machine Learning: Unit I(b): Intelligent Agents and Problem Solving Agents : Tag: : Intelligent Agents and Problem Solving Agents - Artificial Intelligence and Machine Learning - Designing an Agent System
Artificial Intelligence and Machine Learning
CS3491 4th Semester CSE/ECE Dept | 2021 Regulation | 4th Semester CSE/ECE Dept 2021 Regulation