Overview
Course objectives
Knowledge and understanding
After completing the Distributed artificial intelligence and multi-agent systems course offered by Örebro University, the student should be able to:
- explain the principles underlying multiagent systems
- discuss different methods and architecture for the construction of a single agent part of a multi-agent system, and of complete multi-agent systems, and
- report different forms of distributed decision-making and their characteristics.
Skill and ability
After completing the course, the student must be able to:
- develop and discuss solution concepts for a complex distributed problem using techniques used in multi-agent systems.
Evaluation ability and approach
After completing the course, the student should be able to:
- discuss the computational and representational trade-offs that need to be made for various applications of multi-agent systems.
Programme Structure
The program focuses on:
- Introduction to multi-agent systems, concepts and appropriate areas of use,
- Architecture for agent and multi-agent systems,
- Approach to distributed problem solving regarding task assignment and result sharing,
- Planning and coordination of multiple agents,
- Distributed decision making, and
- Practical applications.
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Credits
3 ECTS
Delivered
Online
Disciplines
Artificial Intelligence View 7 other Short Courses in Artificial Intelligence in SwedenWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- 180 higher education credits, of which 15 higher education credits are programming and English 5/English A.
Tuition Fee
Funding
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