Module Handbook

  • 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)


CP, Effort 6.0 CP = 180 h
Position of the semester 1 Sem. in SuSe
Level [7] Master (Advanced)
Language [EN] English
Module Manager
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


Type/SWS Course Number Title Choice in
Presence-Time /
SL SL is
required for exa.
PL CP Sem.
Introduction to Multiagent Systems
P 30 h 60 h - - PL1 3.0 SuSe
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


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.
  • 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.


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)


Requirements for attendance of the module (formal)


References to Module / Module Number [WIW-WIN-MAS-M-7]

Course of Study Section Choice/Obligation
[MAT-88.276-SG] M.Sc. Business Mathematics [Core Modules (non specialised)] Computer Science and Computational Methods [WP] Compulsory Elective
Module-Pool Name
[GS-CVT-BS-2022-E-MPOOL-6] Catalog Electives Business Studies and Economics 2022
[WIW-FE-MPOOL-7] Field of Specialization: Financial Economics
[WIW-WIN-MPOOL-7] Field of Specialization: Business Information Systems & OR