|
|
|
|
Complexity permeates virtually every aspect of our lives.
The most unsettling property of these systems is the
difficulty of predicting their behavior, even in cases when
one knows in detail their structural composition and the
interaction rules on the microscopic scale. It is well known
that nonlinearity and non-locality of the interactions will
usually generate complex behavior. However, it has recently
been discovered that complexity has at least one other face:
that is complexity generated by the
topology of the
interactions, studied under the name of
Complex Networks Science. Another
interesting, and largely uncharted "type" of complexity is generated when
coupling already complex components that have optimization
tendency, studied under the emerging field of
Agent-based Systems.
My current research focuses both on complex networks
and agent-based systems. Starting from a statistical physics
base, my main goal is to develop a methodology for the
understanding and modeling these type of systems. |
|
|
|
|
|
|
|
|
|
|
Links: |
|
●
Networks research at LANL: the SPIN group |
●
Networks research at
Notre-Dame University: the Barabási group |
●
Networks research in Europe: COSIN |
|
●
György Korniss |
●
Charles Reichhardt |
●
Matthew Hastings |
●
Eli Ben-Naim |
●
Kevin E.
Bassler |
|
●
Center for Nonlinear Studies |
●
Los Alamos National Laboratory |
|
|
|
|
|
|
|
|
|
|
|