Home

Carlosimulaties

Carlosimulaties is a term used to describe a family of computer simulations designed to study complex systems and emergent phenomena, often in social, urban, or logistical settings. The label does not map to a single standardized framework; rather, it encompasses several modeling approaches that emphasize interactions among autonomous agents and their environments.

Common methods associated with Carlosimulaties include agent-based modeling, discrete-event simulation, and system dynamics. Models are typically

Applications span urban planning, transportation, crowd dynamics, epidemiology, and disaster response. The approach is valued for

Limitations include reliance on model assumptions, challenges in validating emergent behaviors against real data, and sensitivity

built
to
explore
how
simple
rules
governing
individual
components
can
produce
large-scale
patterns
over
time
and
space.
Implementations
may
use
general-purpose
programming
languages
such
as
Python
or
Java,
or
specialized
platforms
like
NetLogo
or
AnyLogic.
enabling
scenario
testing,
visualization
of
outcomes,
and
communication
of
complex
interactions
to
researchers,
policymakers,
and
the
public.
to
parameter
choices.
Transparent
documentation,
data
provenance,
and
code
availability
are
important
to
improve
reproducibility
and
credibility.
Related
topics
include
agent-based
modeling,
discrete-event
simulation,
and
system
dynamics.