460-4114/01 – Multiagent Sytems (MAS)

Gurantor departmentDepartment of Computer ScienceCredits4
Subject guarantorMgr. Marek Menšík, Ph.D.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
Part-time Credit and Examination 12+6

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:

1. Wooldridge, M.:An Introduction to MultiAgent Systems, Wiley, 2009, ISBN:978-0470519462 2. Schwartz, H. M.: Multi-Agent Machine Learning: A Reinforcement Approach, Wiley, 2014, ISBN: 978-1118362082

Recommended literature:

1. 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

During the semester, students write a credit test in which students demonstrate practical skills from the taught topics. Students then pass the written exam dealing with practical and also theoretical foundations.

E-learning

Other requirements

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

Part-time form (validity from: 2016/2017 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  21
        Examination Examination 60  30 3
Mandatory attendence participation: Graduation is conditional on obtaining at least 21 points from the credit and 30 points from the examination. 75% participation in the exercises is compulsory.

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Conditions for subject completion and attendance at the exercises within ISP: Consultation on the topic every month and completion of tests.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (N0613A140034) Computer Science TI P Czech Ostrava 2 Choice-compulsory type A study plan
2024/2025 (N0613A140034) Computer Science TI K Czech Ostrava 2 Choice-compulsory type A study plan
2024/2025 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2024/2025 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2023/2024 (N0613A140034) Computer Science TI K Czech Ostrava 2 Choice-compulsory type A study plan
2023/2024 (N0613A140034) Computer Science TI P Czech Ostrava 2 Choice-compulsory type A study plan
2023/2024 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2023/2024 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2022/2023 (N0613A140034) Computer Science TI K Czech Ostrava 2 Choice-compulsory type A study plan
2022/2023 (N0613A140034) Computer Science TI P Czech Ostrava 2 Choice-compulsory type A study plan
2022/2023 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2022/2023 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2021/2022 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2021/2022 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
2020/2021 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 2 Choice-compulsory study plan
2020/2021 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 2 Choice-compulsory study plan
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

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2023/2024 Winter
2016/2017 Winter