Multi-player snowdrift game on scale-free simplicial complexes
Y Xu, M Feng, Y Zhu, C Xia - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Nowadays, a large number of complex systems have been characterized by networks
connecting the pairwise interacting agents. However, from human decision-making …
connecting the pairwise interacting agents. However, from human decision-making …
Deep reinforcement learning in agent-based simulations for optimal media planning
Agent-based models establish a suitable simulation technique to recreate real complex
systems, such as those approached in marketing. Reinforcement learning is about learning …
systems, such as those approached in marketing. Reinforcement learning is about learning …
Transparency, detection and imitation in strategic classification
Given the ubiquity of AI-based decisions that affect individuals' lives, providing transparent
explanations about algorithms is ethically sound and often legally mandatory. How do …
explanations about algorithms is ethically sound and often legally mandatory. How do …
Role of second-order reputation evaluation in the multi-player snowdrift game on scale-free simplicial complexes
S Guo, J Wang, D Zhao, C Xia - Chaos, Solitons & Fractals, 2023 - Elsevier
Over the past few decades, the network topology is often characterized via pairwise
interactions in the field of indirect reciprocity. However, from human society to ecosystem …
interactions in the field of indirect reciprocity. However, from human society to ecosystem …
[HTML][HTML] Cooperation dynamics under pandemic risks and heterogeneous economic interdependence
The spread of COVID-19 and ensuing containment measures have accentuated the
profound interdependence among nations or regions. This has been particularly evident in …
profound interdependence among nations or regions. This has been particularly evident in …
Committing to the wrong artificial delegate in a collective-risk dilemma is better than directly committing mistakes
While autonomous artificial agents are assumed to perfectly execute the strategies they are
programmed with, humans who design them may make mistakes. These mistakes may lead …
programmed with, humans who design them may make mistakes. These mistakes may lead …
[PDF][PDF] Cooperation and learning dynamics under risk diversity and financial incentives
In this paper, we investigate the role of risk diversity in groups of agents learning to play
collective risk dilemmas (CRDs). We show that risk diversity poses new challenges to …
collective risk dilemmas (CRDs). We show that risk diversity poses new challenges to …
[PDF][PDF] Cooperation between independent reinforcement learners under wealth inequality and collective risks
We study how wealth inequality influences behavioral dynamics in groups of independent
reinforcement learners facing a threshold public goods dilemma with uncertain returns. The …
reinforcement learners facing a threshold public goods dilemma with uncertain returns. The …
The art of compensation: how hybrid teams solve collective risk dilemmas
It is widely known how the human ability to cooperate has influenced the thriving of our
species. However, as we move towards a hybrid human-machine future, it is still unclear …
species. However, as we move towards a hybrid human-machine future, it is still unclear …
Cooperation and learning dynamics under wealth inequality and diversity in individual risk
We examine how wealth inequality and diversity in the perception of risk of a collective
disaster impact cooperation levels in the context of a public goods game with uncertain and …
disaster impact cooperation levels in the context of a public goods game with uncertain and …