UINA502 Agents and Multiagent Systems

Filozoficko-přírodovědecká fakulta v Opavě
zima 2024
Rozsah
2/2/0. 6 kr. Ukončení: zk.
Vyučující
doc. Ing. Petr Sosík, Dr. (přednášející)
doc. Ing. Petr Sosík, Dr. (cvičící)
Garance
doc. Ing. Petr Sosík, Dr.
Ústav informatiky – Filozoficko-přírodovědecká fakulta v Opavě
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
Cíle předmětu
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.
Výstupy z učení
Upon completion of the course the student will be able to:
- define an agent;
- describe reactive, deliberative, social and hybrid agents;
- define and analyze the functions of multi-agent systems;
- compare and highlight the differences in each type of agent;
- describe learning modes;
- design a simple multi-agent system;
Osnova
  • 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
Literatura
  • 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
Výukové metody
Interactive lecture Lecture with a video analysis
Metody hodnocení
Exam
Vyučovací jazyk
Angličtina
Informace učitele
Project presentation max. 30 points. Final exam test max 70 points (min 36 points). To pass - 51 points.
Předmět je zařazen také v obdobích zima 2021, zima 2022, zima 2023.
  • Statistika zápisu (nejnovější)
  • Permalink: https://is.slu.cz/predmet/fpf/zima2024/UINA502