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Open AccessArticle

Productivity Equation and the m Distributions of Information Processing in Workflows

Operational Efficiency and Planning Group, Secretary of State for Education and Sport, Curitiba, Paraná 80240-900, Brazil
Appl. Syst. Innov. 2019, 2(3), 24; https://doi.org/10.3390/asi2030024
Received: 19 June 2019 / Revised: 18 July 2019 / Accepted: 19 July 2019 / Published: 23 July 2019
(This article belongs to the Special Issue Non-linear Devices, Systems, Networks and Their Applications)
This research proposes and investigates an equation for productivity in hybrid workflows regarding its robustness towards the definition of workflows as a hybrid probabilistic systems. The proposed equation and its derivations were formulated through a theoretical framework about information theory, probabilities and complex adaptive systems. By defining a productivity equation for organism-machine-environment interactions, discrete and continuous variables that constitute the systems can be controlled by a mathematical framework where prediction and monitoring aspects of optimization are possible without the limitation of strict empirical methods. View Full-Text
Keywords: agent-based systems; mathematical modelling; complex adaptive systems; hybrid probabilistic systems; control theory agent-based systems; mathematical modelling; complex adaptive systems; hybrid probabilistic systems; control theory
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Roberto Telles, C. Productivity Equation and the m Distributions of Information Processing in Workflows. Appl. Syst. Innov. 2019, 2, 24.

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