INFO 7002 Advanced Topics in Artificial Intelligence
Credit Points 10
Legacy Code 301196
Coordinator Dongmo Zhang Opens in new window
Description This unit introduces the most fundamental techniques of artificial intelligence (AI), including knowledge representation, searching, machine learning and intelligent agents. Students will learn the basic theories and algorithms that are essential in the design and development of intelligent systems. The unit will focus on two typical AI applications: game playing and e-trading. Students will have the chance of using existing multiagent system platforms to design and develop intelligent software for game playing and automated trading in e-markets.
School Computer, Data & Math Sciences
Student Contribution Band HECS Band 2 10cp
Check your HECS Band contribution amount via the Fees page.
Level Postgraduate Coursework Level 7 subject
Incompatible Subjects LGYA 5875 Intelligent Agents LGYA 5991 Automated Negotiation and e-Trading INFO 7006 Intelligent Agents for eMarkets
Restrictions Students must be enrolled in a postgraduate program.
This subject requires basic skills in programming with either JAVA or C++ as the programming language.
- Explain the background and principles of typical artificial intelligence techniques;
- Describe the algorithms and their applications of typical artificial intelligence techniques;
- Describe the architectures and models of intelligent agents and robots;
- Explain the general economic model of electronic markets;
- Design and implement computer game players and trading agents based on provided system development environment.
Knowledge representation and reasoning techniques
Machine learning techniques
Intelligent agents and multiagent systems
Advanced Topic 1: Special intelligence and general intelligence
Advanced Topic 2: Intelligent agents for game playing
Advanced Topic 3: Robot programming
Advanced Topic 4: Agent-mediated e-Markets
Advanced Topic 5: Intelligent agents for e-trading
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
|Assignment 1||15 hours of work offline.||20||N||Individual|
|Assignment 2||15 hours of work offline.||20||N||Individual|
|Final examination||2 hours (open book)||60||N||Individual|
2022 Semester 2
Parramatta - Victoria Rd
Subject Contact Dongmo Zhang Opens in new window
Attendance Requirements 80% attendance rate is imposed in all core subjects’ due to the nature of class activities that are aligned with subject assessments.