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Found 7 papers, 3 papers with code
Altruism Design in Networked Public Goods Games
Many collective decision-making settings feature a strategic tension between agents acting out of individual self-interest and promoting a common good.
Optimizing Graph Structure for Targeted Diffusion
However, in many applications, such as targeted vulnerability assessment or clinical therapies, one aspires to affect a targeted subset of a network, while limiting the impact on the rest.
Social and Information Networks Physics and Society
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification
Networked public goods games model scenarios in which self-interested agents decide whether or how much to invest in an action that benefits not only themselves, but also their network neighbors.
Computer Science and Game Theory Multiagent Systems
Computing Equilibria in Binary Networked Public Goods Games
Public goods games study the incentives of individuals to contribute to a public good and their behaviors in equilibria.
Computer Science and Game Theory
Distributionally Robust Removal of Malicious Nodes from Networks
An important problem in networked systems is detection and removal of suspected malicious nodes.
Removing Malicious Nodes from Networks
In reality, detection is always imperfect, and the decision about which potentially malicious nodes to remove must trade off false positives (erroneously removing benign nodes) and false negatives (mistakenly failing to remove malicious nodes).
Adversarial Regression with Multiple Learners
We present an algorithm for computing this equilibrium, and show through extensive experiments that equilibrium models are significantly more robust than conventional regularized linear regression.
