Consensus of hybrid behavior for graphical coordination games

L Zhou, J Wang, M Ye, BL Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This brief is concerned with consensus of hybrid behavior for graphical coordination games.
We take into account a multi-agent system with two agent-unions that have various …

Paying firms to share cyber threat intelligence

B Collins, S Xu, PN Brown - … Conference on Decision and Game Theory …, 2021 - Springer
Effective cyber defense requires stakeholders to collaborate with each other and share
cyber threat intelligence. Sharing such intelligence can improve the community's …

Robust stochastic stability in dynamic and reactive environments

BC Collins, L Hines, G Barboza… - 2021 60th IEEE …, 2021 - ieeexplore.ieee.org
The theory of learning in games has extensively studied situations where agents respond
dynamically to each other by optimizing a fixed utility function. However, in many settings of …

A Coupling Approach to Analyzing Games with Dynamic Environments

BC Collins, S Xu, PN Brown - arXiv preprint arXiv:2207.06504, 2022 - arxiv.org
The theory of learning in games has extensively studied situations where agents respond
dynamically to each other by optimizing a fixed utility function. However, in real situations …

Examining Payoff-Based Log-Linear Learning in a Medical Image Segmentation Context

RM Young - 2020 - search.proquest.com
Accurately segmenting medical images is a challenging task. Clinical diagnosis, treatment
planning, and equipment quality assurance are all applications that rely on accurate image …