Multiagent Systems (CMPE562) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Multiagent Systems CMPE562 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce the concepts of agent and multi-agent systems and their applications and the basic design issues related to agent and multi-agent systems.
Course Learning Outcomes The students who succeeded in this course;
  • Explain the agent notion, the difference between agent and other software paradigms
  • Review approaches for developing agents
  • Comprehend how agent societies communicate, cooperate, negotiate and coordinate for solving problems
  • Design and develop multi-agent systems
Course Content Agent paradigm, abstract agent architectures, design of intelligent agents, agent cooperation, auction systems, negotiation, argumentation, interaction languages and protocols, distributed problem solving, coordination, applications for multi-agent systems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction Chapters 1 (main text)
2 Intelligent Agents Chapter 2
3 Intelligent Agents Chapter 2
4 Deductive Reasoning Agents Chapter 3
5 Practical Reasoning Agents Chapter 4
6 Reactive and Hybrid Agents Chapter 5
7 Multiagent Interactions Chapter 6
8 Multiagent Interactions Chapter 6
9 Reaching Agreements Chapter 7
10 Reaching Agreements Chapter 7
11 Communication Chapter 8
12 Working Together Chapter 9
13 Methodologies Chapter 10
14 Applications Chapter 11
15 Review
16 Review


Course Book 1. An Introduction to MultiAgent Systems, Wooldridge, M., John Wiley & Sons, 2002, ISBN: 047149691X.
Other Sources 2. G.Weiss, Multi-Agent Systems, The MIT Press, 1999.
3. Readings in Agents, Singh, M. and Huhns, M., Morgan-Kaufmann Publishers, 1997.
4. Ferber, J., Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, Ferber, J., Addison-Wesley, 1999, ISBN: 0-201-36048-9
5. Shoham, Y. and Leyton-Brown, Kevin, Multiagent Systems: Algorithmic, Game–Theoretic and Logical Foundations, Cambridge University Press, 2009.
6. Shoham, Y. and Leyton-Brown, Kevin, Essentials of Game Theory, Morgan and Claypool, 2008.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation 1 10
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 45
Toplam 4 100
Percentage of Semester Work 55
Percentage of Final Work 45
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 To become familiar with the state-of-the art and the literature in the software engineering research domain
2 An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area
3 Be able to conduct quantitative and qualitative studies in software engineering
4 Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems
5 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
6 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering
7 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
8 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions
9 Promote the development, adoption and sustained use of standards of excellence for software engineering practices

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration 1 7 7
Project 1 10 10
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 127