With the breakthrough of AlphaGo, deep reinforcement learning has become a recognized
technique for solving sequential decision-making problems. Despite its reputation, data …

Abstract Models in evolutionary game theory traditionally assume symmetric interactions in
homogeneous environments. Here, we consider populations evolving in a heterogeneous …

We introduce new theoretical insights into two-population asymmetric games allowing for an
elegant symmetric decomposition into two single population symmetric games. Specifically …

Ensuring the rational and orderly circulation of medical supplies during a public health
emergency is crucial to quickly containing the further spread of the epidemic and restoring …

This research describes the development and application of a 3-player game theoretic
model between two queueing systems and a service that distributes individuals to them. The …

Many societies have norms of equity–that those who make symmetric social contributions
deserve symmetric rewards. Despite this, there are widespread patterns of social inequity …

为探索合理促进房地产开发企业参与绿色建筑认证, 推动绿色建筑发展, 将前景理论与演化博弈
结合, 构建了地方政府与房地产开发企业之间的演化博弈模型, 分析了演化稳定路径及关键参数 …

Minimum weighted vertex cover (MWVC) is an important optimization problem in the
application of complex network theory, and the asymmetric game model sheds light on the …

In this paper, we study the concept of Evolutionarily Stable Strategies (ESSs) for symmetric
games with n≥ 3 players. The main properties of these games and strategies are analyzed …

This thesis investigates the behavioural dynamics that emerge at the interface of Emergency
Departments (EDs) and the Emergency Medical Service (EMS). The focus is on the impact …