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This research investigates an equation of productivity for workflowsregarding its robustness towards the definition of workflows as probabilisticdistributions. The equation was formulated across its derivations through atheoretical framework about information theory, probabilities and complexadaptive systems. By defining the productivity equation for organism-objectinteractions, workflows mathematical derivations can be predicted and monitoredwithout strict empirical methods and allows workflow flexibility fororganism-object environments.

Productivity equation and the m distributions of information processing in workflows