Humans possess a remarkable ability to make decisions within real-world environments that
are expansive, complex, and multidimensional. Human cognitive computational …

Research in computational psychiatry is dominated by models of behavior. Subjective
experience during behavioral tasks is not well understood, even though it should be relevant …

Extracting useful knowledge from big data is important for machine learning. When data is
privacy-sensitive and cannot be directly collected, federated learning is a promising option …

Scientists increasingly apply concepts from reinforcement learning to affect, but which
concepts should apply? And what can their application reveal that we cannot know from …

The study of emotion has been plagued by several challenges that have left the field
fractionated. To date, there is no dominant method for measuring the nebulous and often ill …

Individuals' affective experience can be intricate, influenced by various factors including
monetary rewards and social factors during social interaction. However, within this array of …

The Ultimatum Game is an effective tool for understanding how social decision-making is
influenced by emotions in both research and clinical settings. Previous findings have shown …

Objective. The decision-making behavior of the proposer is a key factor in achieving
effective and equitable maintenance of social resources, particularly in economic …

Citizens' daily appeals are generally accompanied by negative sentiment, yet little is known
about the impact of negative emotions on official response behaviors in a closed online …

In this paper, we develop a prisoner's dilemma game model with three types of strategies
and six types of emotions. We propose a direct emotional interaction mechanism …