Artificial intelligence (AI) is starting to pervade the economic and social life. This renders
strategic interactions between humans and artificial agents more and more common. At the …

With an increasing number of applications in the context of multi-agent systems, automated
negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the …

Designing intelligent agents that interact proficiently with people necessitates the prediction
of human decision-making. We present and discuss three prediction paradigms for …

In this work, we design an Artificially Intelligent Task Allocator (AITA) that proposes a task
allocation for a team of humans. A key property of this allocation is that when an agent with …

This paper proposes a multi-demand negotiation model that takes the effect of human users'
psychological characteristics into consideration. Specifically, in our model each negotiating …

The connection between messaging and action is fundamental both to web applications,
such as web search and sentiment analysis, and to economics. However, while prominent …

With the increasing ubiquity and power of mobile devices as well as the prevalence of social
systems, more activities in our daily life are being recorded, tracked, and shared, creating …

Task allocation is an important problem in multi-agent systems. It becomes more challenging
when the team-members are humans with imperfect knowledge about their teammates' …

In sync with the significant interest in industry and the general populace about future
potential of human-AI collaboration [14], academic researchers have been pushing the …

Abstract The long-running Automated Negotiating Agents Competition (ANAC) is comprised
of various agent-agent and human-agent negotiation leagues. One such competition is the …