Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem...
Most practical work on AI planningsystems during the last fteen years has been based on hierarchical task network (HTN) decomposition, but until now, there has been very little an...
We discuss the problem of generating text that preserves certain ambiguities, a capability that is useful in applications such as machine translation. We show that it is relativel...
The mobile robot programming problem is a software engineering challenge that is not easily conquered using contemporary software engineering best practices. We propose robot obse...
This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...