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)