460-4114/01 – Multiagent Sytems (MAS)

Gurantor departmentDepartment of Computer ScienceCredits4
Subject guarantorprof. RNDr. Marie Duží, CSc.Subject version guarantorMgr. Marek Menšík, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
MEN059 Mgr. Marek Menšík, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 10+0

Subject aims expressed by acquired skills and competences

In this course the students will learn how to design multi-agent systems. They should be able to design a system of autonomous agents who communicate by messaging in order to meet their individual as well as common goals.

Teaching methods

Lectures
Seminars
Individual consultations
Tutorials
Project work

Summary

In this course the students will learn how to design multi-agent systems. They should be able to design a system of autonomous agents who communicate by messaging in order to meet their individual as well as common goals.

Compulsory literature:

Wooldridge, M.:An Introduction to MultiAgent Systems, Wiley, 2009, ISBN:978-0470519462 Schwartz, H. M.: Multi-Agent Machine Learning: A Reinforcement Approach, Wiley, 2014, ISBN: 978-1118362082

Recommended literature:

Lewis, Zhang, Hengster-Movric, Das.:Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (Communications and Control Engineering), Springer, 2014, 978-1447155737

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Basic knowledge of theoretical informatics and mathematical logic.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Introduction to multiagent systems, agents' architecture, no central dispatcher 2. Behaviour vs. planning. 3. Reactive agents; Agents' learning and reasoning. 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.   Exercisez: 1. Introduction to multiagent systems, agents' architecture, no central dispatcher 2. Behaviour vs. planning. 3. Reactive agents; Agents' learning and reasoning. 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. Ontologies and knowledge bases. 11. Indirect communication. 12. Languages for communication in multiagent systems.

Conditions for subject completion

Combined form (validity from: 2016/2017 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  21
        Examination Examination 60  30
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan

Occurrence in special blocks

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