Science & Technology Course

CZ4046: Intelligent Agents

Course Type: Certification | Study Mode: Part-Time
Keywords: Undergraduate | IT | Intelligent Agents

Course Detail

Introduction
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.
Curriculum Overview
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.
Entry Requirements
Working professionals with prior knowledge of:
Pre-requisite: CZ1007 Data Structures, CZ1011 Engineering Mathematics I
- At least 21 years of age
- Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
- Degree in Engineering/Science or
- Polytechnic Diploma with relevant working experience
Other Information
Funding
- SkillsFuture Series / SSG
- SkillsFuture Credit
- NTUC-UTAP
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