Differential Game Model of Resource Extraction with Continuous and Dynamic Updating

Petrosian, Ovanes; Denis, Tihomirov; Zhou, Jiang-Jing; Gao, Hong-Wei

doi:10.1007/s40305-023-00484-2

J. Oper. Res. Soc. China

2023

DOI: 10.1007/s40305-023-00484-2

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Differential Game Model of Resource Extraction with Continuous and Dynamic Updating

Ovanes Petrosian,

Tihomirov Denis,

Jiang-Jing Zhou

et al.

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2024

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Cited by 1 publication

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Enhancing ecological uncertainty predictions in pollution control games through dynamic Bayesian updating

Zhou,

Petrosian,

Gao

2024

Sci Rep

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This study presents a dynamic Bayesian game model designed to improve predictions of ecological uncertainties leading to natural disasters. It incorporates historical signal data on ecological indicators. Participants, acting as decision-makers, receive signals about an unknown parameter-observations of a random variable’s realization values before a specific time, offering insights into ecological uncertainties. The essence of the model lies in its dynamic Bayesian updating, where beliefs about unknown parameters are refined with each new signal, enhancing predictive accuracy. The main focus of our paper is to theoretically validate this approach, by presenting a number of theorems that prove its precision and efficiency in improving uncertainty estimations. Simulation results validate the model’s effectiveness in various scenarios, highlighting its role in refining natural disaster forecasts.

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Enhancing ecological uncertainty predictions in pollution control games through dynamic Bayesian updating

Zhou,

Petrosian,

Gao

2024

Sci Rep

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show abstract

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Differential Game Model of Resource Extraction with Continuous and Dynamic Updating

Cited by 1 publication

References 14 publications

Enhancing ecological uncertainty predictions in pollution control games through dynamic Bayesian updating

Enhancing ecological uncertainty predictions in pollution control games through dynamic Bayesian updating

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