This paper presents two models of goal generation which enable a motivated autonomous agent to generate goals in response to changes in its underlying drives or motivations, while...
Existing approaches for optimizing queries in data integration use decoupled strategies–attempting to optimize coverage and cost in two separate phases. Since sources tend to ha...
Fielding robots in complex applications can stress the human operators responsible for supervising them, particularly because the operators might understand the applications but n...
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...
Various cognitive and computational models have addressed the use of previous experience to understand a new domain. In particular, research in case-based reasoning has explored t...