M.SC. in Computer Engineering (Without 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
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	Prof. Dr. Cem EVRENDİLEK
Course Lecturer(s)	Prof. Dr. Cem EVRENDİLEK
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

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	will be able to discuss the global picture associated with multiagent systems and describe its importance and the critical issues.
2	will be able to express the key tools, techniques and principles of multiagent planning.
3	will be able to analyze cooperative games.
4	will be able to model allocation of scarce resources via combinatorial auctions.
5	will be able to describe abstract argumentation systems.

Course Description

Intelligent agents, multiagent interactions, agreements, auctions, negotiation, cooperative distributed problem solving, and agent-oriented analysis.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
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	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5
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

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	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	-	-	-	-