Course - Multi Agent Systems and Game Theory - TDT4280
TDT4280 - Multi Agent Systems and Game Theory
About
Examination arrangement
Examination arrangement: Portfolio assessment
Grade: Letters
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Skriftlig eksamen | 70/100 | 4 timer | ||
Arbeider | 30/100 |
Course content
The course gives an overview of the main aspects of multi-agent systems, for example coordination of the behaviour of various agents sharing the same environment. Both cooperative and selfish agents and interactions between them will be discussed. Central to the course is interaction protocols such as auctions, negotiations, etc. Game theory will be a significant part of the course. A practical part of the course is assignments/projects involving implementation of various aspecs of multi-agent systems and game theory.
Learning outcome
Knowledge:
The candidate will get knowledge of :
- main principles of distributed AI
- which techniques from artificial intelligence (AI) can be used in distributed AI environments
- various agent types and their characteristics
- game theory concepts relevant to multiagent systems
- how do agents take strategical decisions
- agent communication languages and interactions between agents.
Skills:
The student can:
- decide which agent types can be used in different problems/tasks
- design agent interaction (e.g., negotiation) protocols
- design information/knowledge models and reasoning algorithms for agents.
General competence:
The student can:
- develop intelligent agents and build multiagent systems.
Learning methods and activities
Lectures, colloquia, self study, exercises. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam (70%) and exercises/projects (30%). The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. If there is a re-sit examination, the examination form may be changed from written to oral.
Compulsory assignments
- mandatory assignments
Recommended previous knowledge
TDT4136 Introduction to Artificial Intelligence or equivalent.
Course materials
Textbook: Wooldridge, M.J.: An Introduction to Multiagent Systems. A set of papers: Will be announced at the start of the course.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
SIF8072 | 7.5 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2016
Language of instruction: English
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- Informatics
- Technological subjects
- Hai Thanh Nguyen
- Pinar Øzturk
Department with academic responsibility
Department of Computer Science
Examination
Examination arrangement: Portfolio assessment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Spring ORD Arbeider 30/100
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Room Building Number of candidates - Spring ORD Skriftlig eksamen 70/100 2016-06-09 09:00
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Room Building Number of candidates - Summer KONT Arbeider 30/100
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Room Building Number of candidates - Summer KONT Muntlig eksamen 70/100 2016-08-08
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Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"