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Course

CS-430: Intelligent agents

Summary

Software agents are widely used to control physical, economic and financial processes. The course presents practical methods for implementing software agents and multi-agent systems, supported by programming exercises, and the theoretical underpinnings including computational game theory.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/intelligent-agents-CS-430

Moodle Page

http://go.epfl.ch/CS-430

About this result

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/intelligent-agents-CS-430

Moodle Page

http://go.epfl.ch/CS-430

About this result

Ontological neighbourhood

Information engineering

Machine learning: Reinforcement learning

Economics

Microeconomics: Game theory

Lectures in this course (16)

Intelligent Agents: Making Decisions and Planning Log in to Mediaspace to watch this video

Covers intelligent agents, decision-making, planning, machine learning, and game theory.

Intelligent Agents: Characteristics and Applications Log in to Mediaspace to watch this video

Covers the characteristics, applications, and challenges of intelligent agents in software systems, emphasizing their role in making autonomous decisions and coordinating with other agents.

Real World Games: Negotiation Strategies Log in to Mediaspace to watch this video

Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.

Auctions and Mechanism Design Log in to Mediaspace to watch this video

Explores auctions, mechanisms, and social choice functions, including bidding strategies and truthful mechanisms.

Coalitions and Group Decisions Log in to Mediaspace to watch this video

Explores Cooperative Game Theory, focusing on group decisions, voting protocols, manipulation, and the challenges of games with more than two players.

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