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#40393 / #6

WS 2019/20 - WS 2019/20


Fundamentals of Multi-Agent Technologies


Albayrak, Sahin




Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

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TEL 14

Fricke, Stefan


Learning Outcomes

Students - will gain a deep understanding of the theory and methods of autonomous systems, - will be able to critically reflect the practical applicability of these theories and methods to concrete problem instances, - will have the capability to transfer the theory and practice of autonomous systems to new problems.


Agent architectures, frameworks, autonomous systems engineering & testing tools. Sensing and prediction of autonomous systems' environments. Agent communication mediated by speech acts, ontologies, and interaction protocols. Co-ordination of cooperative and self-interested agents. Rational decision making for utility maximising agents based on individual preferences, rationality, welfare functions. Design of coordination mechanisms: Auctions, voting, negotiations, coalition formation, fair division.

Module Components


All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Agententechnologien in der ForschungIV0435 L 774WiSeNo information4

Workload and Credit Points

Agententechnologien in der Forschung (IV):

Workload descriptionMultiplierHoursTotal
Time of attendance15.04.0h60.0h
Oral exam preparation1.015.0h15.0h
Homework assignments3.025.0h75.0h
Preparation and review15.02.0h30.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Knowledge transfer during presence times through lectures, exercises, and discussions. Homework comprises group assignments with analysis, design, implementation, experiments, scientific writing, and peer reviews.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Programming experience in any programming language (preferred: Java).

Mandatory requirements for the module test application:

This module has no requirements.

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt



Test elements

3 group assignments, 25 points each75practical9 weeks
Oral test25oral15 minutes

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«


Test description (Module completion)

Homeworks are conducted by groups of 3-4 students. Assignments comprise analysis, design, implementation, experiments, scientific writing, and peer reviews. The oral exam is held as group examination. Participants prepare a short project proposal by applying lecture contents to an innovative application area. The group's presentation is followed by a discussion and individual consultations.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:

Maximum Number of Participants

The maximum capacity of students is 100.

Registration Procedures

Registration via Qispos or Prüfungsamt.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable


Electronical lecture notes

Availability:  available



Recommended literature
No recommended literature given

Assigned Degree Programs

This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.


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