Optimal policy design for decision problems under social influence
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912215973494784 |
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| author | Breschi, Valentina Ravazzi, Chiara Frasca, Paolo Dabbene, Fabrizio Tanelli, Mara |
| author_facet | Breschi, Valentina Ravazzi, Chiara Frasca, Paolo Dabbene, Fabrizio Tanelli, Mara |
| contents | This paper focuses on describing the impact of policy actions on individuals' opinions in the presence of social and external influences toward proposing preliminary nudging strategies to achieve a cost-effectiveness trade-off. To this end, we extend the classical Friedkin and Johnsen model of opinion dynamics to incorporate random factors, such as variability in individual predispositions due to uncontrolled events (e.g., modeling the impact of the weather on daily mobility choices), and describe the impact of personalized policies. Furthermore, we formulate an optimal control problem aimed at fostering the social acceptance of particular actions/choices within the network. Through our analysis and numerical simulations, we illustrate the features of the proposed model in the absence of nudging and the effectiveness of the proposed (optimal) nudging strategies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_07282 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimal policy design for decision problems under social influence Breschi, Valentina Ravazzi, Chiara Frasca, Paolo Dabbene, Fabrizio Tanelli, Mara Systems and Control This paper focuses on describing the impact of policy actions on individuals' opinions in the presence of social and external influences toward proposing preliminary nudging strategies to achieve a cost-effectiveness trade-off. To this end, we extend the classical Friedkin and Johnsen model of opinion dynamics to incorporate random factors, such as variability in individual predispositions due to uncontrolled events (e.g., modeling the impact of the weather on daily mobility choices), and describe the impact of personalized policies. Furthermore, we formulate an optimal control problem aimed at fostering the social acceptance of particular actions/choices within the network. Through our analysis and numerical simulations, we illustrate the features of the proposed model in the absence of nudging and the effectiveness of the proposed (optimal) nudging strategies. |
| title | Optimal policy design for decision problems under social influence |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2406.07282 |