UINA502 Agents and Multiagent Systems

Faculty of Philosophy and Science in Opava
Winter 2022
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Sosík, Dr. (lecturer)
doc. Ing. Petr Sosík, Dr. (seminar tutor)
Guaranteed by
doc. Ing. Petr Sosík, Dr.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
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. Turing test history. Human and machine intelligence. 2. Agents‘ architecture. 3. Reactive agents, reactivity, emergence. 4. Deliberation, theory of BDI, IRMA (intelligent resource-bounded machine architecture), PRS (procedural reasoning system). 5. Agents' interactions, distributed artificial intelligence 6. Experiments: emergent behaviour of agents 7. Reactive communication with environment, standards of agents’ behavior. 8. Agents' cooperation, table method, negotiation, messaging. 9. Decentralized problem solving 10. Agents' Ontologies and knowledge bases 11. Communication in MAS, communication languages. 12. Indirect communication
Literature
  • WOOLDRIDGE, Michael J. An introduction to multiagent systems. 2nd ed. Chichester, U.K.: John Wiley, 2009. ISBN 978-0-470-51946-2.
  • HAJDUK, Mikuláš, Marek SUKOP, Matthias HAUN. Cognitive Multi-agent Systems: Structures, Strategies and Applications to Mobile Robotics and Robosoccer (e-book). Springer International Publishing, 2019. ISBN 978-3-319-93687-1.
  • HAJDUK, Mikuláš, Marek SUKOP, Matthias HAUN. Cognitive Multi-agent Systems: Structures, Strategies and Applications to Mobile Robotics and Robosoccer (e-book). Springer International Publishing, 2019. ISBN 978-3-319-93687-1
Teaching methods
Interactive lecture Lecture with a video analysis
Assessment methods
Exam
Language of instruction
English
Teacher's information
Project presentation max. 30 points. Final exam test max 70 points (min 36 points). To pass - 51 points.
The course is also listed under the following terms Winter 2021, Winter 2023, Winter 2024.
  • Enrolment Statistics (Winter 2022, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2022/UINA502