UML's current definition of the role concept comes with many problems, not the least being that it is difficult to understand and communicate. This paper proposes a revised UM...
To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task m...
James F. Allen, Nathanael Chambers, George Ferguso...
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
In this paper we present a novel approach for patternconstrained test case generation. The generation of test cases with known characteristics is usually a non-trivial task. In co...
This paper describes a distribution fitting exercise that has been used in an undergraduate introductory simulation class. The intent is for students to collect data describing a ...