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#40393 / #8

Seit WiSe 2022/23

English

Fundamentals of Multi-Agent Technologies

6

Albayrak, Sahin

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

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

No information

Kontakt


TEL 14

Fricke, Stefan

dai-labor-lehre@lists.tu-berlin.de

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.

Content

* Co-ordination of cooperative and self-interested agents. * Rational decision making for utility maximising agents based on individual preferences, rationality, welfare functions. * Cooperative Problem solving, auctions, voting, negotiations, coalition formation, fair division.

Module Components

Pflichtteil:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Fundamentals of Multi-Agent SystemsIV0435 L 798WiSeNo information4

Workload and Credit Points

Fundamentals of Multi-Agent Systems (IV):

Workload descriptionMultiplierHoursTotal
Attendance15.04.0h60.0h
Pre/post processing15.08.0h120.0h
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 skills are required for the group homeworks.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
(Deliverable assessment) 3 group assignments, 25 points each75practical9 weeks
(Examination) Oral test25oral15 minutes

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

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:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

Registration via Qispos or Prüfungsamt. Also, registration on ISIS course page is mandatory.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computer Engineering (M. Sc.)116WiSe 2022/23SoSe 2024
Computer Science (Informatik) (M. Sc.)116WiSe 2022/23SoSe 2024
Elektrotechnik (M. Sc.)18WiSe 2022/23SoSe 2024
ICT Innovation (M. Sc.)14WiSe 2022/23SoSe 2024
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)14WiSe 2022/23SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)18WiSe 2022/23SoSe 2024

Miscellaneous

Due to overlapping contents, this module cannot be processed in combination with the bachelor module "Agententechnologien: Grundlagen und Anwendungen" (#40317)