  We concentrate our study on a recent process algebra - PALOMA - intended to
capture interactions between spatially distributed agents, for example in
collective adaptive systems. New agent-based semantic rules for deriving the
underlying continuous time Markov chain are given in terms of State to Function
Labelled Transition Systems. Furthermore we define a bisimulation with respect
to an isometric transformation of space allowing us to compare PALOMA models
with respect to their relative rather than absolute locations.
