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Fundamentals of Multi-Agent Technologies

6 LP

English

#40393 / #6

Seit WS 2019/20

Fakultät IV

TEL 14

Institut für Wirtschaftsinformatik und Quantitative Methoden

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

Albayrak, Sahin

Fricke, Stefan

lehre@lists.dai-labor.de

POS-Nummer PORD-Nummer Modultitel
62270 24354 Agententechnologie in der Forschung
2349309 41778 Fundamentals of Multi-Agent Technologies

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

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

Pflichtteil:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Agententechnologien in der Forschung IV 0435 L 774 WS No information 4

Workload and Credit Points

Agententechnologien in der Forschung (IV):

Workload description Multiplier Hours Total
Time of attendance 15.0 4.0h 60.0h
Oral exam preparation 1.0 15.0h 15.0h
Homework assignments 3.0 25.0h 75.0h
Preparation and review 15.0 2.0h 30.0h
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:

No information

Module completion

Grading:

graded

Type of exam:

Portfolio examination

Language:

English

Typ of portfolio examination

100 points in total

Test elements

Name Points Categorie Duration/Extent
3 group assignments, 25 points each 75 practical 9 weeks
Oral test 25 oral 15 minutes

Grading scale

1.01.31.72.02.32.73.03.33.74.0
95.090.085.080.075.070.065.060.055.050.0

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

This module can be completed in one semester.

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

Literature

Recommended literature
No recommended literature given.

Assigned Degree Programs

Zur Zeit wird die Datenstruktur umgestellt. Aus technischen Gründen wird die Verwendung des Moduls während des Umstellungsprozesses in zwei Listen angezeigt.

This module is used in the following modulelists:

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

    Miscellaneous

    No information