UINA352 Agents and Multi-Agents Systems I

Faculty of Philosophy and Science in Opava
Winter 2020
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Miroslav Langer, Ph.D. (lecturer)
Mgr. Marek Menšík, Ph.D. (lecturer)
Guaranteed by
Mgr. Marek Menšík, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Prerequisites (in Czech)
TYP_STUDIA(N)
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course deals with the theory of agents and multi-agent systems. The goal of the subject is to introduce methods of agents' communication and learning by experience. Particular kinds of agents are considered, from simple reactive agents, up to deliberative, social, hybrid agents, and finally multi-agent systems in general. The students should also be able to create a real multi-agent system.
Syllabus
  • 1. Social agents
    2. Hybrid agents' architectures
    3. InteRRaP architecture
    4. Machine learning
    5. Learning of deliberative agents
    6. Reactive agents' learning
    7. Mobile agents
Literature
    recommended literature
  • Wooldridge, M. An Introduction to MultiAgent Systems (second edition). John Willey and Sons Ltd:, 2009. ISBN 978-0-470-51946-2. info
  • KUBÍK, A. Inteligentní agenty. Tvorba aplikačního software na bázi multiagentových systémů. Brno: Computer press, 2004. ISBN 80-251-0323-4. info
  • KUBÍK, A. Tvorba aplikačního software na bázi multiagentových systémů. Brno: Computer press, 2004. ISBN 80-251-0323-4. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Exam
Language of instruction
English
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
Project presentation max. 30 points, Final exam test max 70 points(min 36 points). To pass - 51points.
The course is also listed under the following terms Winter 2017, Winter 2018, Winter 2019.
  • Enrolment Statistics (recent)
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