von Mammen, SebastianSteil, ScottJacob, Christian2011-11-152011-11-152011-11-15http://hdl.handle.net/1880/48785SwarmScript provides a powerful programming approach based on situation- action pairs which allow the modeller to express agent behaviours and which equally well translate into computational processes. It merges a standardized representation for modelling agent behaviours with an algorithmic interpretation for simulating the resulting interactions.[...] The next section will introduce the data model of SwarmScript v3.0, whereas Sections 3 to 5 present pseudo code for creating, modifying and running SwarmScript simulations. Section 3 introduces some technical methods for setting, updating, and querying the connectivity of SwarmScript operators. Section 4 sheds light on routines necessary for creating and editing SwarmScript behaviours, including the creation of high-level operators. Finally, the pseudo code in Section 5 shows how SwarmScript behaviours can be simulated.engAlgorithmic interpretationsituation-action pairsSimulation state, selection operatorstechnical report2011-1017-2910.11575/PRISM/30863