Design of Multi-Agent Systems

Uitgebreide vaknaam	Design of Multi-Agent Systems
Leerdoelen	PLEASE NOTE that the goals and content of this course may change, due to change of the course coordinator. At the end of the course, the student is able to: 1) describe the area of Multi-Agent Systems and agent-based modelling. 2) comprehend research articles in the area of Multi-Agent Systems. 3) implement simple Multi-Agent Systems and run experiments. 4) state and test a hypothesis using Multi-Agent Systems.
Omschrijving	This course is about the design of multi-agent systems and its uses for modelling. Examples of the use of agent-based models in several fields (e.g., biology, anthropology, linguistics, law, economy) will be discussed. In comparison to the course "Logical Aspects of Multi-Agent Systems" the emphasis here is more on implementation and simulation than on formal aspects.
Uren per week
Onderwijsvorm	Hoorcollege (LC), Practisch werk (PRC)
Toetsvorm	Practisch werk (PR), Presentatie (P), Verslag (R) (40% Documentation Report, 30% Project Presentation, 30% Implementation. Students must submit (drafts of) the report and the software at various stages during and at the end of the course. Moreover, every group must give a presentation at the end of the course. Missing/extending one or two of the deadlines will be accepted. There are no other grade requirements (other than a minimum of 5.5), i.e. balancing report / presentation / implementation grades with each other is possible.)
Vaksoort	master
Coördinator	dr. H.A. de Weerd
Docent(en)	dr. H.A. de Weerd
Verplichte literatuur	Titel Auteur ISBN Prijs Research articles — a list of suggestions and inspiration will be provided on Nestor. Introduction to Multi-Agent Systems. Michael Wooldridge 9780470519462 ca. €  60,00
Entreevoorwaarden	Mandatory: No prior knowledge is assumed. Please note that the student is expected to have a relevant BSc degree. Advised: Students should have taken a related undergraduate course similar to those in the BSc Artificial Intelligence, for example "Knowledge and Agent Technology" or "Self-organization of ecological and social systems". Moreover, students should be fluent in a common programming language and able to implement given algorithms. Familiarity with the agent-paradigm and related frameworks or libraries is a plus.
Opmerkingen	This course trains the students in doing their own research projects. More specifically, it prepares students for graduation projects, if they choose to do it in the area of Multi-Agent Systems.
Opgenomen in	Opleiding Jaar Periode Type MSc Artificial Intelligence  (A - General Mandatory Course Units) 1 semester I a verplicht MSc Computational Cognitive Science  (C - Elective Course Units) - semester I a keuze MSc Courses for Exchange Students: AI - Computing Science - Mathematics - semester I a