Long-term histories affect genetic algorithm

[bradduthie]

Currently, only the history of interactions from the previous time step directly affects the genetic algorithm for stakeholders and managers. For managers especially, this could be made a bit more nuanced. The entire history of total actions and resource dynamics is recorded, and this could easily be made available (e.g., in PARAS_REC) for managers to make decisions. Incorporating these data into the genetic algorithm, and therefore into agent decision making, could be tricky, but one simple example of this could be having managers use the per-time step mean number of stakeholder actions in the last 2-3 time steps to predict future user actions with a bit more inertia. Managers could also use stakeholder action history from earlier time steps, but weighting each by how long ago they occurred.