GRADUATE SCHOOL
M.SC. in Computer Engineering (With Thesis)
CE 534 | Course Introduction and Application Information
| Course Name |
Intelligent Agents and Multi Agent Planning
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
CE 534
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
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| Course Language |
English
|
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| Course Type |
Elective
|
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| Course Level |
Second Cycle
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The objective of this course is to introduce the main issues in the theory and practice of intelligent agents and multi agent systems. Topics regarding effective cooperation of agents in large-scale systems are discussed and methodologies for designing and implementing such software systems are explained in the course. Students, after taking the course, are expected to have an understanding of the core concepts related to agent technology like multi agent coordination, common knowledge and multi agent learning. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Intelligent agents, multiagent interactions, agreements, auctions, negotiation, cooperative distributed problem solving, and agent-oriented analysis. |
|
|
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Introduction, Agents as a paradigm for software engineering | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 1) |
| 2 | Intelligent Agents, Expert Systems, Intentional Systems, Abstract Architectures for Intelligent Agents, Utility Functions | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 2) |
| 3 | Deductive Reasoning Agents, Agent-Oriented Programming | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 3) |
| 4 | Practical Reasoning, Means-Ends Reasoning | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 4) |
| 5 | Subsumption Architecture, situated automata, The Limitations of Reactive Agents, Hybrid Agents, Touring Machines | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 5) |
| 6 | Multiagent Interactions, Utilities and Preferences, Multiagent Encounters, Dominant Strategies and Nash Equilibria, Competitive and Zero-Sum Interactions, The Prisoner's Dilemma | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 11) |
| 7 | Making Group Decisions: Voting, Elections, Arrow’s Theorem | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 12) |
| 8 | Forming Coalitions: Cooperative games, The Core, The Shapley value, Coalition Structure Formation | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 13) |
| 9 | Allocating Scarce Resources: Combinatorial Auctions, Bidding languages, The VCG Mechanism, Online Auctions | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 14) |
| 10 | Bargaining: Negotiation, Alternating Offers Protocol, The Monotonic Concession Protocol, The Zeuthen Strategy | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 15) |
| 11 | Arguing: Abstract Argumentation, Preferred Extensions, Dialogue Systems | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 16) |
| 12 | Logical Foundations: Possible Worlds Semantics, Axioms for Knowledge and Belief, Logic at Work | Michael Wooldridge, An Introduction to Multiagent Systems, John Wiley & Sons,2002 (Ch. 17) |
| 13 | Discussions, Research and Presentations I | |
| 14 | Discussions, Research and Presentations II | |
| 15 | Discussions, Research and Presentations III | |
| 16 | - |
| Course Notes/Textbooks | The textbook referenced above and course slides |
| Suggested Readings/Materials | Related Research Papers |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
1
|
40
|
| Project |
1
|
60
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm | ||
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
60
|
|
| Weighting of End-of-Semester Activities on the Final Grade |
40
|
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
9
|
135
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
1
|
5
|
5
|
| Project |
1
|
37
|
37
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
0
|
||
| Final Exam |
0
|
||
| Total |
225
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information. |
X | ||||
| 2 | Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations. | X | ||||
| 3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines. |
X | ||||
| 4 | Is informed about new and upcoming applications in the field and learns them whenever necessary. | X | ||||
| 5 | Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions. |
X | ||||
| 6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs | X | ||||
| 7 | Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process. |
X | ||||
| 8 | Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. |
X | ||||
| 9 | Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. |
X | ||||
| 10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
X | ||||
| 11 | Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications. |
X | ||||
| 12 | Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest