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Course, academic year 2018/2019
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Multi-agent systems - NAIL096
Title in English: Multi-agentní systémy
Guaranteed by: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Faculty: Faculty of Mathematics and Physics
Actual: from 2017 to 2018
Semester: winter
E-Credits: 6
Hours per week, examination: winter s.:2/2 C+Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: not taught
Language: Czech
Teaching methods: full-time
Additional information:
Guarantor: Michal Jakob
prof. Dr. Ing. Michal Pěchouček, M.Sc.
Class: Informatika Mgr. - volitelný
Classification: Informatics > Informatics, Software Applications, Computer Graphics and Geometry, Database Systems, Didactics of Informatics, Discrete Mathematics, External Subjects, General Subjects, Computer and Formal Linguistics, Optimalization, Programming, Software Engineering, Theoretical Computer Science
Annotation -
Last update: T_KTI (23.04.2015)
The course provides an introduction to concepts, models and algorithms for autonomous agents and multi-agent systems. The first part of the course introduces single-agent models and control architectures; the second, more extensive part explains key multiagent models and algorithms, both for cooperative and non-cooperative multiagent settings. Upon successful completion of the course, students will be able to understand main multi- agent concepts, be able to map real-world multi-agent problems to multiagent formal models and apply algorithmic techniques to solve them.
Literature -
Last update: T_KTI (23.04.2015)

An Introduction to Multiagent Systems by Michael Wooldridge. Published in February 2002 by John Wiley and Sons (Chichester, England). ISBN 047149691X 340pp

Syllabus -
Last update: T_KTI (23.04.2015)

1. Introduction to multi-agent system, formal model of an agent

2. Reactive agents

3. Deliberative and deductive agents

4. BDI architectura

5. Modal logic based formal model of multi-agent system

6. Inter-agent comunication

7. Cooperation and coordination

8. Negotiation

9. Distributed decision making

10. Coalition formation

11. Introduction to game theory

12. Development of scalable multi-agent systems

13. Multi-agent applications

14. Wrapups

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