[图书][B] Computational aspects of cooperative game theory

G Chalkiadakis, E Elkind, M Wooldridge - 2011 - books.google.com
Cooperative game theory is a branch of (micro-) economics that studies the behavior of self-
interested agents in strategic settings where binding agreements among agents are …

[PDF][PDF] Bitcoin mining pools: A cooperative game theoretic analysis

Y Lewenberg, Y Bachrach, Y Sompolinsky… - Proceedings of the …, 2015 - cs.huji.ac.il
Bitcoin is an innovative decentralized cryptocurrency whose core security relies on a “proof
of work” procedure, which requires network participants to repeatedly compute hashes on …

[图书][B] Economics and computation

J Rothe - 2015 - Springer
1 Her work has been supported in part by an NRW grant for gender-sensitive universities
supporting her as a junior professor for Computational Social Choice and by the project …

Weighted voting on the blockchain: Improving consensus in proof of stake protocols

S Leonardos, D Reijsbergen… - International Journal of …, 2020 - Wiley Online Library
Proof of stake (PoS) protocols rely on voting mechanisms to reach consensus on the current
state. If an enhanced majority of staking nodes, also called validators, agree on a proposed …

Neural payoff machines: Predicting fair and stable payoff allocations among team members

D Cornelisse, T Rood, Y Bachrach… - Advances in …, 2022 - proceedings.neurips.cc
In many multi-agent settings, participants can form teams to achieve collective outcomes that
may far surpass their individual capabilities. Measuring the relative contributions of agents …

[HTML][HTML] Negotiating team formation using deep reinforcement learning

Y Bachrach, R Everett, E Hughes, A Lazaridou… - Artificial Intelligence, 2020 - Elsevier
When autonomous agents interact in the same environment, they must often cooperate to
achieve their goals. One way for agents to cooperate effectively is to form a team, make a …

Game-theoretic Counterfactual Explanation for Graph Neural Networks

C Chhablani, S Jain, A Channesh, IA Kash… - Proceedings of the ACM …, 2024 - dl.acm.org
Graph Neural Networks (GNNs) have been a powerful tool for node classification tasks in
complex networks. However, their decision-making processes remain a black-box to users …

False-name manipulations in weighted voting games

H Aziz, Y Bachrach, E Elkind, M Paterson - Journal of Artificial Intelligence …, 2011 - jair.org
Weighted voting is a classic model of cooperation among agents in decision-making
domains. In such games, each player has a weight, and a coalition of players wins the game …

Social ranking manipulability for the cp-majority, Banzhaf and lexicographic excellence solutions

T Allouche, B Escoffier, S Moretti… - Twenty-Ninth International …, 2021 - hal.science
We investigate the issue of manipulability for social ranking rules, where the goal is to rank
individuals given the ranking of coalitions formed by them and each individual prefers to …

Forms of representation for simple games: Sizes, conversions and equivalences

X Molinero, F Riquelme, M Serna - Mathematical Social Sciences, 2015 - Elsevier
Simple games are cooperative games in which the benefit that a coalition may have is
always binary, ie, a coalition may either win or loose. This paper surveys different forms of …