Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: CSE304
Module Title: Multi-Agent Systems
Module Level: Level 3
Module Credits: 5.00
Academic Year: 2019/20
Semester: SEM2
Originating Department: Computer Science and Software Engineering
Pre-requisites: N/A
1. To introduce the student to the concept of an agent and multi-agent systems, and the main applications for which they are appropriate;

2. To introduce the main issues surrounding the design of intelligent agents;

3. To introduce the main issues surrounding the design of a multi-agent society

4. To introduce a contemporary platform for implementing agents and multi-agent systems
Learning outcomes 
On successful completion of this module, students are expected to:

1. Understand the notion of an agent, how agents are distinct from other software paradigms (eg objects) and understand the characteristics of applications that lend themselves to an agent-oriented solution;

2. Understand the key issues associated with constructing agents capable of intelligent autonomous action, and the main approaches taken to developing such agents;

3. Understand the key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems

4. Understand the main application areas of agent-based solutions, and be able to develop a meaningful agent-based system using a contemporary agent development platform.
Method of teaching and learning 
Formal lectures:

Students will be expected to attend two hours of formal lectures in a typical week.

Private study:In a typical week, students will be expected to devote a further seven or eight hours of unsupervised time to private study. The time allowed for private study each week will typically include four hours of time for reflection and consideration of lecture material, and three to four hours of background reading

Lectures 1-3 Introduction

what is an agent: agents and objects; agents and expert systems; agents and distributed systems; typical application areas for agent systems.

Lectures 4-8 Intelligent Agents

the design of intelligent agents - reasoning agents (eg AgentO), agents as reactive systems (eg subsumption architecture); hybrid agents (eg PRS); layered agents (eg Interrap) ; Multi-Agent Systems

Lectures 9-12

Classifying multi-agent interactions - cooperative versus non-cooperative; zero-sum and other interactions; what is cooperation and how cooperation occurs - the Prisoner's dilema and Axelrod's experiments;

Lectures 13-17 Interactions between self-interested agents: auctions & voting systems: negotiation;

Lectures 18-22 Interactions between benevolent agents: cooperative distributed problem solving (CDPS), partial global planning; coherence and coordination;

Lectures 23-25 Interaction languages and protocols: speech acts, KQML/KIF, and the FIPA framework.

Lectures 26-28 Advanced topics- one issue selected from the contemporary research literature, perhaps by guest lecturer.
Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 28     14      108  150 


Sequence Method % of Final Mark
1 Online Open Book Exam(2 Hours) 80.00
2 Assessment Task 10.00
3 Assessment Task 10.00

Module Catalogue generated from SITS CUT-OFF: 5/30/2020 3:12:27 AM