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Course: Decentralized and Multi-Agent Systems

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Course title Decentralized and Multi-Agent Systems
Course code FES/DDMS
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
Course content
1. The traditional view of the Artificial Intellignece based on the idea of deliberation of rational agents. 2. The new view of the agents based on the idea of their reaktivity. 3. A unified approach to traditional, and new Artificial Intellligence. 4. The overview of the existing approaches to the topic of decentralized and multi-sagent systems. 5. Detailed explanation of some selected approaches guided esp. by their moitvations and applications. 6. Formalization of some selected approaches and the theoretically achieved results.

Learning activities and teaching methods
unspecified
Learning outcomes
The goal of the course is to make the students familiar with the most actual trends, practical experiences, and theoretical achievments of the field of researcjh and applications of decentralized multi-agent systems on the laval enabling the deeper study of the field by the students.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Brenner, W., Zarnekow, R., Wittig, H. .: Intelligent Software Agents.. Springer, 1999.
  • Ferber, J. Multi-Agent Systems : An Introduction to Distributed Artificial Intelligence.. Addison-Wesley Pub Co, 1999.
  • Huhns,M.N., Singh,M.P. Readings in Agents.. Morgan Kaufmann, 1997.
  • Jennings,N.R., Wooldridge,M.J. Agent Technology.. Springer-Verlag, 1998.
  • Kirn, S., O'Hare,G. (eds.). Cooperative Knowledge Processing.. Springer-Verlag, London, 1997.
  • Kubik, A. Inteligentní agenty.. Computer Press, 2004.
  • Murch,R., Johnson,T. Intelligent Software Agents.. Prentice-Hall, 1999.
  • Nilsson,N.J. Artificial Intelligence: A New Synthesis.. Morgan Kaufmann, 1998.
  • Russel,S., Norvig, P. Artificial Intelligence - A Modern Approach.. Lawrence Erlbaum, Hillsdale, 1995.
  • Weiss, G. (Ed.). Multiagent Systems.. The MIT Press, 1999.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics and Administration Study plan (Version): Informatics in Public Administration (2013) Category: Economy - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Economics and Administration Study plan (Version): Informatics in Public Administration (2013) Category: Economy - Recommended year of study:-, Recommended semester: -
University of Pardubice, date of update: 28.05.2024 23:50.