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Athabasca University
Study Guide
Multiagent Systems (Rev. 4)
Computer Science 667
Unit 3 Multiagent Learning
Computer Science 667
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Multiagent Systems (Rev. 4)
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Study Guide
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Unit 3 Multiagent Learning
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Section 1
Unit 0 Orientation
Learning Outcomes
Course Outline
Course Materials and Components
How to Approach This Course
Assessment
Suggested Study Schedule
Avoid Academic Misconduct and Plagiarism
Using (Not Abusing) Wikipedia
Unit 1 Foundations
Section 1
Section 2
Section 3
Section 4
Section 5
Section 6
Section 7
Unit 2 Intelligent Agents and Multiagent Systems
Section 1
Section 2
Section 3
Unit 3 Multiagent Learning
Section 1
Section 2
Section 3
Unit 4 Social Choice
Section 1
Section 2
Section 3
Unit 5 Mechanism Design
Section 1
Section 2
Section 3
Unit 6 Multiagent Resource Allocation
Section 1
Section 2
Section 3
Unit 7 Coalition Game
Section 1
Section 2
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Section 1: Introduction to Multiagent Learning, Fictitious Play, and Rational Learning
Key Learning Points
Address three issues:
the interaction between learning and teaching
the settings in which learning takes places and what constitutes learning in those settings
the yardsticks by which to measure this or that theory of learning in multiagent systems.
Discuss learning rules, focusing on repeated two-player games.
Discuss model-based learning in fictitious play, and rational learning.
Activities
Read sections 7.1, 7.2, and 7.3 of the textbook.
Watch the following videos on YouTube:
Learning in Repeated Games
Fictitious Play Implementation in NetLogo
Discuss the following questions in the discussion forum:
What constitutes learning?
How do we evaluate a prescriptive learning strategy?
What is model-based learning?
What are the similarities and difference between fictitious play and rational learning?
Updated July 09 2018 by FST Course Production Staff
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