Complex Social Systems (formerly Social Intelligence)
(M.Sc. in Cognitive Science, University of Athens)


Objectives

The objective of the course is to familiarise students on the one hand with the fundamental approaches, methodologies and techniques involved in the synthesis and the design of intelligent individuals that exist and act within a social group, and on the other hand with the collective, emergent intelligence of the social group itself. All the major distributed/collective approaches are surveyed: distributed AI, decentralized AI, multi-agent systems, artificial life, social simulation, complex systems. The investigated systems and models span a broad range of phenomena: biological, social, economic, communicative, evolutionary, human group models, social structure models, such as norms or regulations, etc. Besides essays and assignments, the students have to carry out substantial experimental work with real systems and models related to synthesis, simulation and experimental analysis of computational social systems (agent-based or network-based).

Instructor

	Elpida Tzafestas
	Associate Professor
	Cognitive Science Laboratory
	Department of History and Philosophy of Science (M.I.Th.E.)
	National and Kapodistrian University of Athens
	University Campus, Ano Ilisia 15771 Athens
	GREECE
	Tel. (+30) 210-727 5522,
	     (+30) 210-727 5506
	Fax. (+30) 210-727 5530

	 etzafestas@phs.uoa.gr
	 http://users.softlab.ntua.gr/~brensham


Syllabus


Course material

Practical assignments (indicative)


Page last updated 09 March 2012
Send me mail (etzafestas@phs.uoa.gr)