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dynamics should also be modeled explicitly as part of the simulated
environment. The approach proposed in [52] is very similar to the
approach proposed by Klugl (see Section 2.3.1), in fact the approach of
Klugl is based on [52]. The authors advocate for the influence-reaction
model and propose a formalism to model dynamic environments in
multi-agent simulation.
Odell adapts the description of Parunak [99] and expresses the
environment as a tuple
environment
=(
state, process
)with
state
denoting the complete state of the environment and
process
being
an autonomously executing mapping that changes the environment's
state. Autonomously executing means that the process runs without
being invoked from any outside entity [95].
