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Introduction to Multi Agent Systems

Prof. Dr. Oliver Wendt

Prof. Dr. Michael Schwind

Dr. Mahdi Moeini

 

Summer Term 2017

WIW-WIN-MAS-V-7

Teaching Language: Englisch

Exam

 


The lectures take place as a block during 10th-14th July 2017 in 42-421a.

Initial Schedule:

Monday    (10.07.17):       9-12    14-17
Tuesday   (11.07.17):       9-12    14-17
Wednesday (12.07.17):    9-12    14-17
Thursday  (13.07.17):       9-12    14-17
Friday    (14.07.17):          9-12    14-17


 

 

Introd. to Multi Agent Systems (MAS)

Multi agent systems allow the modeling of interacting processes between autonomous acting individuals in distributed systems while using compact software modules for deployment. On the one hand due to their modularity MAS are very appropriate for the control of inter-enterprise processes that are common in logistics and supply chain management, on the other hand MAS are suitable for the micro-simulation of  socio-technical and economic processes. The MAS lecture provides an introduction into the technical foundations of MAS, like e.g. ontologies and FIPA system architecture and additionally discusses aspects of model design and implementation. In this context the economically and game-theoretically oriented domain of mechanism design is treated jointly with associated aspects like trust and reputation. In its final part the lecture is mainly concerned with the deployment of MAS technologies in the domain of logistics, supply chain and IT-resource management in practice.

Exam:

  • Please see the section of Exams (in the left menu of this page).

Literature:

  • Maria Fasli, Agent Technology for e-Commerce, Wiley, 2007
  • Michael Wooldridge, An Introduction to Multiagent Systems, Wiley, 2001
  • Gerhard Weiss (Hrsg.), Multiagent Systems, MIT Press, 1999
  • Jacques Ferber, Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, Addison Wesley, 1999
  • Russel & Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, 2003

Downloads:

  • Distributed Problem Solving and Planning
  • Distributed Rational Decision Making
  • Intelligent Agents
  • Multiagent Systems and Societies of Agents

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