Dynamischer Default-Fachbereich geändert auf WIW

Module WIW-WIN-MAS-M-7

Multiagent Systems (M, 6.0 LP)

Module Identification

Module Number	Module Name	CP (Effort)
WIW-WIN-MAS-M-7	Multiagent Systems	6.0 CP (180 h)

Basedata

CP, Effort	6.0 CP = 180 h
Position of the semester	1 Sem. in SuSe
Level	[7] Master (Advanced)
Language	[EN] English
Module Manager	Wendt, Oliver, Prof. Dr. (PROF \| DEPT: WIW)
Lecturers	Schermer, Daniel, M. Sc. (WMA \| DEPT: WIW) Schwind, Michael, Prof. Dr. (EXT \| DEPT: WIW)
Area of study	[WIW-WIN] Business Information Systems and Operations Research
Reference course of study	[WIW-88.789-SG#2009] M.Sc. Business Studies with Technical Qualifications (2009) [2009]
Livecycle-State	[NORM] Active

Courses

Type/SWS	Course Number	Title	Choice in Module-Part	Presence-Time / Self-Study		SL	SL is required for exa.	PL	CP	Sem.
2K	WIW-WIN-MAS-K-7	Introduction to Multiagent Systems	P	30 h	60 h	-	-	PL1	3.0	SuSe
2U	WIW-WIN-MAS-1-K-7	Exercises to Multiagent Systems	P	10 h	80 h	-	-	PL2	3.0	SuSe

About [WIW-WIN-MAS-K-7]: Title: "Introduction to Multiagent Systems"; Presence-Time: 30 h; Self-Study: 60 h
About [WIW-WIN-MAS-1-K-7]: Title: "Exercises to Multiagent Systems"; Presence-Time: 10 h; Self-Study: 80 h

Examination achievement PL1

Form of examination: written exam (Klausur) (90 Min.)
Examination Frequency: each semester

Examination achievement PL2

Form of examination: combination of talk and written elaboration
Examination Frequency: Examination only within the course

Evaluation of grades

The grade of the module examination is also the module grade.

See Examination regulations

From [WIW-WIN-MAS-K-7] Introduction to Multiagent Systems:

Lecture “Introduction to Multiagent Systems”:

Characteristics of Multiagent Systems.
Intelligent agents and system architectures.
Agent communication and ontologies.
Distributed planning, problem solving, and learning methods in Multiagent Systems.
Simulation, game theory, and economic aspects of Multiagent Systems.
Industry applications: Multiagent Systems in logistics, supply chain management, and IT resource management.

From [WIW-WIN-MAS-1-K-7] Exercises to Multiagent Systems:

Design and prototypical implementation of solution methods with Multiagent Systems in Java or MAS development environments.
The tasks are associated with supply chain management (trading agent competition) or the coordination of service networks.

Competencies / intended learning achievements

Successful completion of this module enables students to:

Assess the possibilities of modelling interacting processes through autonomously acting individuals in distributed software systems.
Defending one’s own prototypical implementation of a solution method with Multiagent Systems.
Assess sociotechnical and economic processes in microsimulation.
Evaluate how Multiagent Systems might be beneficial, due to their modularity, for managing intercorporate decentralized processes, such as logistics or supply chain management environments.

Literature

From [WIW-WIN-MAS-K-7] Introduction to Multiagent Systems:

Fasli, Maria: Agent Technology for e-Commerce, Wiley 2007.

Slides with in-depth bibliographical references will be made available.

Requirements for attendance of the module (informal)

None

Requirements for attendance of the module (formal)