Finding appropriate incentives to enforce collaborative efforts for governing the commons in
risky situations is a long-lasting challenge. Previous works have demonstrated that both …

The role of costly punishment in shaping the evolution of cooperation has long been a
subject of debate, given its contested effectiveness due to challenges posed by second …

Cooperation plays a crucial role in both nature and human society, and the conundrum of
cooperation attracts the attention from interdisciplinary research. In this study, we …

Forms of both simple and complex machine intelligence are increasingly acting within
human groups in order to affect collective outcomes. Considering the nature of collective …

Cooperative AI has shown its effectiveness in solving the conundrum of cooperation.
Understanding how cooperation emerges in human-agent hybrid populations is a topic of …

Effective approaches to encouraging group cooperation are still an open challenge. Here
we apply recent advances in deep learning to structure networks of human participants …

Committed individuals, who feature steadfast dedication to advocating strong beliefs, values,
and preferences, have garnered much attention across statistical physics, social science …

Collective intelligence challenges are often entangled with collective action problems. For
example, voting, rating, and social innovation are collective intelligence tasks that require …

We cooperate with other people despite the risk of being exploited or hurt. If future artificial
intelligence (AI) systems are benevolent and cooperative toward us, what will we do in …

Abstract Machines powered by artificial intelligence increasingly permeate social networks
with control over resources. However, machine allocation behavior might offer little benefit to …