Game Theory and Evolution

TL;DR: This paper proposes a data sharing incentive model based on evolutionary game theory using blockchain with smart contract that can dynamically control the excitation parameters and continuously encourages users to participate in data sharing.

TL;DR: In this paper, the authors show that there is a single distribution that maximizes diversity from all viewpoints simultaneously, and any list of species has an unambiguous maximum diversity value, and the maximizing distribution(s) can be computed in finite time.

TL;DR: Wang et al. as discussed by the authors presented a dynamic spatial correlation-aware topology control method (TC-GSC) using game theory to reduce the redundant data in wireless sensor networks, where the monitoring region is divided into several spatial-correlation areas, and only one active node is periodically selected for each area.

TL;DR: In this article , the authors present an overview of the latest research on game theory-based federated learning (FL) models for profit maximization, authentication, privacy management, trust management, and threat detection.

TL;DR: In the Hamadryas baboon, males are substantially larger than females, and a troop of baboons is subdivided into a number of ‘one-male groups’, consisting of one adult male and one or more females with their young.

TL;DR: A community consensus is reported on the architecture of the linked open government data ecosystem, the key technologies reported by works included in this special issue are reviewed, and three grand challenges towards opening, linking, and reusing government data are concluded.