Causality is a central issue in many AI applications. Social causality, in contrast to physical causality, seeks to attribute cause and responsibility to social events, and account...
Social learning in robotics has largely focused on imitation learning. Here we take a broader view and are interested in the multifaceted ways that a social partner can influence t...
Maya Cakmak, Nicholas DePalma, Rosa I. Arriaga, An...
We consider from a computational perspective the problem of how to aggregate the ranking preferences of a number of alternatives by a number of different voters into a single cons...
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
As ubiquitous computing technologies mature, they must move out of laboratory settings and into the everyday world. In the process, they will increasingly be used by heterogeneous ...