Results 151 to 160 of about 50,466 (234)

On the Ranking of Bilateral Bargaining Opponents [PDF]

We fix the status quo (Q) and one of the bilateral bargaining agents to examine how shifting the opponent.s ideal point (type) away from Q in a unidimensional space affects the Nash and Kalai-Smorodinsky bargaining solutions when opponents differ only in
Ross Cressman, Maria Gallego
core  

Threats and demonstrations of power: experimental results on bilateral bargaining [PDF]

We test the empirical effectiveness of threats in equilibrating bargaining power in simple bilateral bargaining games. Our experimental design is based on the two-player versions of the multibidding game (Pérez-Castrillo and Wettstein, 2001) and the bid ...
Noemí Navarro, Róbert Veszteg
core  

Dynamic optimization of shared storage for renewable driven grids with insights from Egypt. [PDF]

Sci Rep
Hassan M, Beshr E.
europepmc   +1 more source

Evolution of fairness in the divide-a-lottery game. [PDF]

Sci Rep, 2023
Kim JY, Lee KM.
europepmc   +1 more source

An incentive-aware federated bargaining approach for client selection in decentralized federated learning for IoT smart homes. [PDF]

Sci Rep
L JV.
europepmc   +1 more source

Breaking the traditional: a survey of algorithmic mechanism design applied to economic and complex environments. [PDF]

Neural Comput Appl, 2023
Chen Q, Wang X, Jiang ZL, Wu Y, Li H, Cui L, Sun X.   +6 more
europepmc   +1 more source

The choice of corporate social responsibility strategies under rivalry: Whether to increase socially responsible product characteristics or enhance relationship with buyers. [PDF]

PLoS One
Zhao X.
europepmc   +1 more source

Quantum Negotiation Games: Toward Ethical Equilibria. [PDF]

Entropy (Basel)
Smoliński R, Frąckiewicz P, Grzanka K, Szopa M.   +3 more
europepmc   +1 more source

SC-NBTI: A Smart Contract-Based Incentive Mechanism for Federated Knowledge Sharing. [PDF]

Sensors (Basel)
Zhang Y, Liu J, Li J, Huang Y, Zhong W, Chen Y, Chen L.   +6 more
europepmc   +1 more source

Multi-agent reinforcement learning driven resource game optimization for network slicing in MEC-enabled HetNets. [PDF]

Sci Rep
Mao K.
europepmc   +1 more source