In recent years, the accelerated aging process in China has brought enormous pressure on
the traditional aged care system. The private family-based aged care mode cannot resolve …

Cyber-physical systems feature the interplay of cyber-network intelligence and physical
system dynamics. Agents of artificial intelligence making decisions based on observations …

Abstract We propose a Biased Inferential Naivety social learning model. In this model, a
group of agents tries to determine the true state of the world and make the best possible …

Social learning, a fundamental process through which individuals shape their beliefs and
perspectives via observation and interaction with others, is critical for the development of our …

Collective intelligence, characterized as the capacity of human groups to engage in
intellectual cooperation and exhibit intelligent behavior, has become a burgeoning field of …

The operation of autonomous multi-agent systems (MAS) under the complex interactions
among intelligent agents heavily relies on the consensus protocols to facilitate multi-agent …

In recent years, people have increasingly turned to social networks like Twitter and
Facebook for news. In contrast to traditional news sources, these platforms allow users to …

We study a multiple-receiver Bayesian persuasion model in which the sender wants to
achieve an outcome and commits to an experiment which sends correlated messages to …

We proposed a model of learning and belief formation in which a group of agents tries to
learn the true underlying state of the world and make the best possible decisions. Agents …

Philosophers have always been interested in asking moral questions, but social scientists
have generally been more occupied with asking questions about morality. How do people …