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Multi-agent systems

Website:website containing additional information
Course code:INFOMAS
Credits:7.5 ECTS
Period:period 3 (week 6 through 15, i.e., 5-2-2018 through 13-4-2018; retake week 27)
Participants:up till now 46 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:Dit is een oud rooster!
lab session          studentassistent KS
group 1 Thu 15.15-17.006-14 UNNIK-103
group 2 Thu 15.15-17.006-14 UNNIK-104
lecture   Tue 11.00-12.457-14 RUPPERT-B Mehdi Dastani
Pinar Yolum
Thu 13.15-15.006-14 BBG-001
week: 15Thu 11-4-201913.30-16.30 uurroom: DAVID LLOYD-HAL3
week: 27Thu 4-7-201913.30-16.30 uurroom: BBG-223retake exam
Note:No up-to-date course description available.
Text below is from year 2016/2017
Contents:This course focuses on multi-agent issues and will consist of lecture and seminar sessions.

  • The lectures will cover the following topics:
    • Game theory
    • Auctions
    • Communication
    • Social choice
    • Mechanism Design
    • Normative Multi-Agent Systems
  • The seminar sessions consists of student presentations and will cover other multi-agent system issues such as:
    • Logics for Multi-Agent Systems
    • Multi-Agent Organisations and Electronic Institutions
    • Normative Multi-Agent Systems
    • Argumentation and Dialogues in Multi-Agent Systems
    • Multi-Agent Negotiation
    • Communication and coordination in Multi-Agent Systems
    • Development of Multi-Agent Systems
    Each student is expected to present some papers on one of the abovementioned topics.
  • Literature:May change!
    We use parts of the following books and some additional papers. The first book is available on the internet, see: The second book is available in the library and in my own room (BBG-521).
    Course form:Lectures + Student Presentations
    Exam form:Written Exams + Presentations
    Minimum effort to qualify for 2nd chance exam:To qualify for the retake exam, the grade of the original must be at least 4.
    Description:Multi-agent systems are nowadays an important and innovative research area in artificial intelligence and computer science. They are viewed as a computational paradigm to specify, design, and implement software systems for solving complex tasks in terms of interacting computational entities. These computational entities, called agents, are usually assumed to be heterogeneous, autonomous, self-interested, and situated in an environment. They can communicate and coordinate their activities to achieve their objectives. The environments in which individual agents are situated can be ordinary software environments (e.g., internet), physical environments (e.g., robot), or normative mechanisms (e.g., virtual organisation). Multi-agent system paradigm can be used to develop open and distributed applications such as multi-robot systems, on-line auctions, virtual organizations, electronic institutions, market places, and virtual games. Some of multiagent issues are: how agents communicate and interact with each other, how they coordinate their activities, how their activities can be organised, and what are characteristics of multiagent applications.