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5 CONCLUSIONS
In this paper we propose SIMLAB, a novel model
for multi-level agent based simulation. This model
has the particularity to explicitly define the notion of
modeling axis allowing representation on others as-
pects than only actors. In addition, influences are
designed to represent inter-level relationships and in-
fluences of recursive properties are spread from one
level to another. Moreover, observations make the
model capable of modifying the system’s organiza-
tion, as detecting and reifying macro-entities. As we
have explained, it would be interesting to represent
multi-level entities within a same model allowing ex-
perts of different domain to work together at the level
that suits them best.
In the SMACH platform (Amouroux et al., 2013),
we are currently working on the application of this
multi-level model to simulate human behavior. The
SMACH simulation platform is intended to study
household activities and their relation with electrical
consumption depending on specific pricing policies or
appliance use. We are extending the SMACH model
to study population, activity and environment at sev-
eral levels of representation. Our goal is to evaluate
possible incentives to diminish peak hours electric-
ity demand. We may be able to evaluate our model
in a three axis representation of human activity. For
instance, such model may well be able to reproduce
interesting social phenomena without having to sim-
ulate thousands of agents introducing explicit social
entities.
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