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Lecturer(s)
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Olševičová Kamila, doc. RNDr. Ph.D.
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Course content
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unspecified
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
- Class attendance
- 280 hours per semester
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Learning outcomes
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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 level enabling the deeper study of the field by the students.
Students obtain knowledge in given course in accordance with requirements and course programme.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Essay, Student's performance analysis
Essay and its presentation
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Recommended literature
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Journal of Artificial Societies and Social Simulation.
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Open ABM.
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Epstein JM. Generative Social Science: Studies in Agent-Based Computational Modeling.. Princeton Univ. Press, 2006.
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Newman M. Networks: An Introduction.. OUP Oxford., 2010.
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Page SL, Miller JH. Complex Adaptive Systems: An Introduction to Computational Models of Social Life.. Princeton Univ. Press., 2007.
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Railsback SF, Grimm V. Agent-Based and Individual-Based Modeling: A Practical Introduction.. Princeton Univ. Press, 2011.
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Shoham Y, Leyton-Brown K. Multiagent Systems: Algorithmic, Game-Theoretic, and Logic Foundations.. Cambridge Univ. Press, 2008.
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Vidal JM. Fundamentals of Multiagent Systems with NetLogo Examples..
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Weiss G (ed.). Multiagent Systems.. MIT Press, 2013.
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Wooldridge M. An Introduction to MultiAgent Systems.. John Wiley & Sons,, 2009.
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