Weighted threshold games are coalitional games in which each player has a weight (intuitively corresponding to its voting power), and a coalition is successful if the sum of its w...
Edith Elkind, Leslie Ann Goldberg, Paul W. Goldber...
We present integration mechanisms for combining heterogeneous components in a situated information processing system, illustrated by a cognitive robot able to collaborate with a h...
Nick Hawes, Aaron Sloman, Jeremy Wyatt, Michael Zi...
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Moon...
Existing Information Extraction systems tend to focus on a tight window of context surrounding the desired information to be extracted. This leads to a number of shortcomings in t...