Nonlinear Opinion Dynamics With Tunable Sensitivity

Bizyaeva, Anastasia; Franci, Alessio; Leonard, Naomi Ehrich

doi:10.1109/tac.2022.3159527

Cited by 47 publications

(48 citation statements)

References 68 publications

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“…To address these competing objectives, we propose a new dynamic model for robot navigation based on the nonlinear opinion dynamics presented in [2]. We review the model of nonlinear opinion dynamics in Section II-A.…”

Section: Nonlinear Opinion Dynamicsmentioning

confidence: 99%

“…The nonlinear opinion dynamics model [2] prescribes how an agent updates its opinion state continuously over time in response to what it can measure about its own state, the state of others, and any internal bias or external stimulus:…”

Section: A Nonlinear Opinion Dynamics Modelmentioning

confidence: 99%

“…A key contribution of our work is in guaranteeing deadlockfree navigation. We establish such performance guarantee by analyzing the robot navigation model (2). In particular, we discuss how the robot can rapidly and reliably form a strong opinion to select one of the two options -move left (z r > 0) or right (z r < 0) -and avoid colliding with a human, even when the human maintains a path straight for the robot and the robot has no bias (b r = 0) on which way to pass.…”

Section: Guarantee On Deadlock-free Navigationmentioning

confidence: 99%

“…Our approach provides a navigation algorithm that relies on a continuous-time nonlinear model of opinion dynamics [2]. The robot forms an opinion using these dynamics, and its time-varying opinion drives its motion control.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Opinion-Driven Robot Navigation: Human-Robot Corridor Passing

Cathcart¹,

Santos²,

Park³

et al. 2022

Preprint

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We propose, analyze, and experimentally verify a new approach for robot social navigation in human-robot corridor passing that is driven by nonlinear opinion dynamics. The robot forms an opinion over time in response to its observations, and its opinion drives its motion control. The algorithm inherits a key feature of the opinion dynamics: deadlock, also known as the "freezing robot" problem, is guaranteed to be broken even if the robot has no bias or evidence for whether it is better off passing on the right or the left. The robot can also overcome a bias that is in conflict with the passage choice the human makes. The approach enables rapid and reliable opinion formation, which makes for rapid and reliable navigation. We verify our analytical results on deadlock breaking and rapid and reliable passage with human-robot experiments. We further verify through experiments that a single design parameter can tune the trade-off between efficiency and reliability in humanrobot corridor passing. The new approach has the additional advantage that it does not rely on a predictive model of human behavior.

show abstract

Section: Nonlinear Opinion Dynamicsmentioning

confidence: 99%

Section: A Nonlinear Opinion Dynamics Modelmentioning

confidence: 99%

Section: Guarantee On Deadlock-free Navigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Opinion-Driven Robot Navigation: Human-Robot Corridor Passing

Cathcart¹,

Santos²,

Park³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Most of the existing models of opinion dynamics have an explanatory character and derive the basic mechanisms of social influence from analogies with diffusion processes in physical systems. Different rules for updating the opinions in the group have been considered, which include imitation 21,22 , averaging over people with similar opinions [23][24][25] , following the majority 26,27 , and cooperative versus competitive interactions [28][29][30][31] . Feeding the huge amount of data that artificial intelligence and data science can mine from social networks to an opinion dynamics model can help unleash the predictive power of these explanatory models under external stimuli, thereby enabling proactive interventions 32 .…”

mentioning

confidence: 99%

A model-based opinion dynamics approach to tackle vaccine hesitancy

Ancona

Iudice

Garofalo

et al. 2022

Sci Rep

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Uncovering the mechanisms underlying the diffusion of vaccine hesitancy is crucial in fighting epidemic spreading. Toward this ambitious goal, we treat vaccine hesitancy as an opinion, whose diffusion in a social group can be shaped over time by the influence of personal beliefs, social pressure, and other exogenous actions, such as pro-vaccine campaigns. We propose a simple mathematical model that, calibrated on survey data, can predict the modification of the pre-existing individual willingness to be vaccinated and estimate the fraction of a population that is expected to adhere to an immunization program. This work paves the way for enabling tools from network control towards the simulation of different intervention plans and the design of more effective targeted pro-vaccine campaigns. Compared to traditional mass media alternatives, these model-based campaigns can exploit the structural properties of social networks to provide a potentially pivotal advantage in epidemic mitigation.

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Exploring Narrative Economics: An Agent-Based Co-Evolutionary Model Featuring Nonlinear Continuous-Time Opinion Dynamics

Bokhari,

Cliff

2024

Lecture Notes in Computer Science

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Nonlinear Opinion Dynamics With Tunable Sensitivity

Cited by 47 publications

References 68 publications

Opinion-Driven Robot Navigation: Human-Robot Corridor Passing

Opinion-Driven Robot Navigation: Human-Robot Corridor Passing

A model-based opinion dynamics approach to tackle vaccine hesitancy

Exploring Narrative Economics: An Agent-Based Co-Evolutionary Model Featuring Nonlinear Continuous-Time Opinion Dynamics

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