Objectives
The objective of the course is to familiarise students with the subject, the terminology
and the principal methodologies of modelling and simulation. The course surveys the
fundamental modelling approaches that are based on continuous or discrete mathematical models,
as well as the newer graphical, network-based, computational and agent-based approaches that
adopt an algorithmic view. The course also surveys the simulation approaches of discrete or
continuous time and space, the discrete event approach and the stochastic approaches. All
examples are drawn from the economic and social systems field and a comparative study of the
various approaches is attempted, for example the comparative application of mathematical
populational and behavioural methods to the study of investor behaviour in a stock market or
to a demographical problem. The course also briefly presents some methodological and
theoretical concepts that refer to modelling and simulation, such as validation.
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
History, Topics, Terminology
Discrete/continous time/discrete events, Discrete/continuous/hierarchical space, Networks
Permutations, Combinations, Probabilities, Sets, Graphs, Automata
Types, Linear and affine systems, Fixed points, Growth models, Bifurcation, Chaos
Terminology, Mobility models, Open and closed worlds, Markov models, Diffusion models
Terminology, Types, Metrics, Dynamic behavior
Objective, Terminology, Methodology, Applications
Terminology, Formalism, Two player games, Dynamics and equilbria
Course material
Practical assignments (indicative)
Page last updated 09 March 2012
Send me mail (etzafestas@phs.uoa.gr)