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Course Detail

CZ4046 Intelligent Agents
This course covers an introduction to intelligent agents and multi-agent systems. Students will learned the fundamental understanding of key concepts for agent-based systems, such as reasoning and architectures, cooperative distributed problem solving, and the important concepts in game theory for benevolent and self-interested agents to work together.
Upon completion of the course, students should be able to:
a) Understand the variety of connotations that agent-based computation implies and appreciate how the field fits into Artificial Intelligence and more broadly, Computer Science.
b) Understand how the importance of reasoning and how this can be incorporated into an embodied agent. Differentiate and motivate various agent architectures. Understand the historical development of the agent architecture field.
c) Comprehend the complexity that a multi-agent system entails and the difference between benevolent and self-interested agents, and understand how benevolent agents work together to perform distributed problem solving.
d) Appreciate the value of game theory when applied to multi-agent systems populated by self-interested agents, and understand how these agents interact with each other and make decisions.
e) Gain awareness of several advanced applications of intelligent agents and multi-agent systems such as interface agents, e-commerce agents, workflow and business process management, distributed sensing, multi-agent based electronic marketplaces, multi-agent based vehicular ad hoc networks etc.
Who Should Attend
Working professionals with prior knowledge of:

Pre-requisite: CZ1007 Data Structures, CZ1011 Engineering Mathematics I
Eligibility Criteria
Participants who have completed the Specialist Certificate in Software Basics II OR relevant Bachelor degree holder and Polytechnics Diploma with relevant work experiences.
Date(s): 11 Jan 2021 to 07 May 2021
Time: Refer to Class and Exam Schedules
Venue: TR+16
Closing Date of Registration: 30 Nov 2020
Course Fee Payable:(Inclusive of GST) Refer to the course fee table

E2I No
Academic Units (AU)
Number of AU: 3
Online Registration
Method of Payment
  1. Online Credit/Debit Card Payment (VISA and Mastercard only)
  2. Cash/Cheque/NETS payment at One-Stop@SAC (NTU Main Campus)
Withdrawal & Refund Policy

Once payment is made, applicant is committed to the completion of course. Course fee refunds will not be considered.

Terms and Conditions
  1. Course is subject to a minimum participation number before commencement.
  2. Course is subject to a first-come-first-serve basis.
  3. Registration is non-transferable.
  4. Student must meet all eligibility criteria for admission.
  5. Student is required to complete all assessments for each course.
  6. PaCE@NTU​ reserves the right to change or cancel any course or lecturer due to unforeseen circumstances.
  7. All details are correct at time of dissemination.
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