People often interact repeatedly: with relatives, through file sharing, in politics, etc. Many such interactions are reciprocal: reacting to the actions of the other. In order to facilitate decisions regarding reciprocal interactions, we analyze the ...

We analyze relations between evolution of cooperation on networks and network structures. Most researchers have used simple networks, such as scale-free networks and random networks. We performed decision tree analysis on various networks. The decision ...

Many contemporary project teams are self-assembling, with potential team members operating as individual agents that self-select their own teams. Some examples include software development teams, crowdsourcing platforms, and the formation of scientific ...

We have investigated the mutual influences of affective and collaborative processes in a cognitive theory to support interaction between humans and robots or virtual agents. We build primarily on the cognitive appraisal theory of emotions and the ...

As robots become pervasive in human environments, it is important to enable users to effectively convey new skills without programming. Most existing work on Interactive Reinforcement Learning focuses on interpreting and incorporating non-expert human ...

There has been growing interest, across various domains, in computer agents that can decide on behalf of humans. These agents have the potential to save considerable time and help humans reach better decisions. One implicit assumption, however, is that, ...

The study of human-robot interaction is fundamental to the design and use of robotics in real-world applications. Robots will need to predict and adapt to the actions of human collaborators in order to achieve good performance and improve safety and end-...

Recently, interest has grown in agents that negotiate with people: to teach negotiation, to negotiate on behalf of people, and as a challenge problem to advance artificial social intelligence. Humans negotiate differently from algorithmic approaches to ...

The development of fair and practical policies for shared content online is a primary goal of the access control community. Multi-party access control, in which access control policies are determined by multiple users each with vested interest in a ...