Moses - Fundamentals of Multi-Agent Technologies

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WS 2019/20 - WS 2019/20. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40393 / #6

Validity:
WS 2019/20 - WS 2019/20

Default display language:
English

Module title:
Fundamentals of Multi-Agent Technologies

Credits:
6

Responsible person:
Albayrak, Sahin

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Wirtschaftsinformatik und Quantitative Methoden

Area of expertise:
34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

Prüfungsausschuss:
No information

Kontakt

Office:
TEL 14

Contact person:
Fricke, Stefan

E-mail address:
dai-labor-lehre@lists.tu-berlin.de

Website:

http://www.aot.tu-berlin.de/index.php?id=2661

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	VZ
Agententechnologien in der Forschung	IV	0435 L 774	WiSe	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:

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

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

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

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 100.

Registration Procedures

Registration via Qispos or Prüfungsamt.

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

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

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information

Fundamentals of Multi-Agent Technologies