1. Cost Forecasting responds to the current state of the crowdsourcing, trading off expected costs from responses to current tasks with the potential cost of a new unseen task.
2. The "spike trains" at the top indicate that cost forecasting is not a memoryless process; i.e. it works with the context of the past actions and states of the crowdsouring.

University of Rochester

Because the data for both Growth Rules fit a power-law distribution, cost forecasting is a bursty process. This means that algorithm alternates between requesting new tasks in short bursts and receiving responses to existing tasks for quite some time.

Cost Forecasting Can Be Modeled as a Bursty Process

Hotaling, A., &amp; Bagrow, J. P. (2020). Efficient crowdsourcing of crowd-generated microtasks. PLOS ONE, 15(12). https://doi.org/10.1371/journal.pone.0244245 

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