MULTIAGENT SYSTEMS

Course Information
TitleΣΥΣΤΗΜΑΤΑ ΠΟΛΛΑΠΛΩΝ ΠΡΑΚΤΟΡΩΝ / MULTIAGENT SYSTEMS
CodeNIS-07-07
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate, 2nd / Postgraduate
Teaching PeriodWinter
CoordinatorNick Bassiliades
CommonNo
StatusActive
Course ID600003609

Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 1
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪYPOCΗREŌTIKO KATA EPILOGĪ745

Class Information
Academic Year2017 – 2018
Class PeriodWinter
Instructors from Other Categories
Weekly Hours3
Class ID
600104668
Type of the Course
  • Scientific Area
  • Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic Artificial Intelligence knowledge, Basic Distributed Systems knowledge
Learning Outcomes
Cognitive: Training on the analysis and design of the interaction between multiple, het-erogeneous and distributed intelligent systems. Skills: Familiarization with platforms for developing multiagent systems.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction, Intelligent Agents, Agent Communication (Knowledge Representa-tion/Ontologies, Communication Languages) , Cooperation and Coordination, Game Theory, Social Choice Theory, Auctions, Negotiation, Argumentation, Agent Logic, Multiagent Learning, Applications, Development of Multiagent Systems (JADE, NetLogo) .
Keywords
Intelligent systems, Development of Multiagent Systems
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
Slides in electronic format, software tools & videos.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Laboratory Work13
Reading Assigment39
Project56
Exams3
Total150
Student Assessment
Description
Written Exams weighting 70%, Two projects, each weighting 15%. The evaluation criteria are mentioned in the course webpages.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
• Εισαγωγή στα Πολυπρακτορικά Συστήματα, M. Wooldridge, ΚΛΕΙΔΑΡΙΘΜΟΣ, ISBN: 9789604611256 • Συμπληρωματικές σημειώσεις (διαφάνειες μαθήματος).
Additional bibliography for study
• An Introduction to MultiAgent Systems, 2nd Edition, M. Wooldridge, Wiley, 2009. • Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Y. Shoham & K. Leyton-Brown, Cambridge University Press, 2009
Last Update
13-06-2017