Research Article
Stabilization Methods for a Multiagent System with Complex Behaviours
Pseudocode 3
Hybrid model stabilization.
procedure HybridModelStabilization | input: step: current simulation step, agents: the list of agents; maxDifference: a threshold for social model outcome difference; | minStepsToChange: the minimum number of simulation steps between changes; eps: a very small number; | lastChange: a list with the last simulation step when a change was made to the internal model of an agent; | noChanges: the number of changes made to the system so far | output: updated noChanges | begin | for each agent in agents do | difference = modelDifference(, step) − modelDifference(, step − 1) | if difference < maxDifference and step − lastChange() > minStepsToChange then | a.SocialModels(a.FirstChoice).Outcome = a.SocialModels(a.SecondChoice).Outcome − eps | lastChange() = step | noChanges = noChanges + 1 | end if | end for | return noChanges | end procedure |
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