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COMP41400

Academic Year 2024/2025

Multi-Agent Systems (COMP41400)

Subject:
Computer Science
College:
Science
School:
Computer Science
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Assoc Professor Rem Collier
Trimester:
Autumn
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module aims to introduce students to the concept of multi-agent systems. The course commences with a eview of the fundamental concepts that underpin agent-based systems,.Thereafter a number of topics will be covered including inter alia: agent reasoning technologies, agent communication languages, agent programming languages, coordination protocols agent planning and negotiation strategies. Following this, the course explores how agent technologies have been successfully applied to a diverse range of application domains, such as mobile computing, virtual collaborative environments, and robotics. During the course, students are required to evaluate an agent programming, framework that delivers structured support for the development and deployment of agent-oriented applications.

About this Module

Learning Outcomes:

On completion of this module students should be able to:
1.understand the key concepts that are associated with multi-agent systems, and its associated technologies and techniques.
2. Have an appreciation as to how to implement a simple agent system in an appropriate framework.
3 understand how the approach covered in the course relates to other approaches to implementing agent-oriented applications.
4 Understand the Belief Desire Intention (BDI) model for multi-agent systems;
5.understand how agent technologies have been applied in various application domains.On completion of this module students should be able to:

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

100

Lectures

24

Total

124


Approaches to Teaching and Learning:
This module will comprise of a series of formal lectures.

Students will be invited to undertake self directed learning tasks throughout the module.

These tasks will serve to supplement formal lecture materials and exercise the students understanding of lecture materials.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Equivalents:
Multi-Agent Systems (COMP30240)


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): Programming Exercises Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Graded No
50
No
Exam (In-person): Final Examination End of trimester
Duration:
2 hr(s)
Standard conversion grade scale 40% No
50
No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Feedback for in trimester assessment will be given 2 weeks after the submission deadline.

Name Role
Mrs Katharine Beaumont Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Fri 16:00 - 17:50
Autumn Practical Offering 1 Week(s) - Autumn: All Weeks Wed 15:00 - 16:50