UINA353 Agents and Multi-Agent Systems II

Faculty of Philosophy and Science in Opava
Summer 2019
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Marek Menšík, Ph.D. (lecturer)
RNDr. Miroslav Langer, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Marek Menšík, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Prerequisites (in Czech)
UINA352 Agents and Multi-Agents System
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. There are presented the ways of real multi-agent systems.
Syllabus
  • 1.Social agents.
    2.Dependances between agents.
    3.Hybrid agents' architectures.
    4.InteRRaP architecture.
    6.Machine learning
    Learning of deliberative agents.
    Learning of reactive agents.
    Decisions trees.
    Learning by examples.
    Genetic algorithms.
    12.Mobil 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
  • KELEMEN, J. Strojovia a agenty. Bratislava: Archa, 1994. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Presentation of seminar work
Assessment methods
Exam
Credit
Language of instruction
English
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
Credit: 20 of 40 points, Exam: 31 of 60 points
The course is also listed under the following terms Summer 2018, Summer 2020, Summer 2021.
  • Enrolment Statistics (Summer 2019, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2019/UINA353