One of the primary goals in discovery science is to understand the human scientific reasoning processes. Despite sporadic success of automated discovery systems, few studies have s...
Abstract. Today, the concept of an environment for multi-agent systems is in its pioneering phase. Consequently, the development of supporting software technologies is still rather...
We present an approach to building libraries of tasks in complex action languages such as Golog, for query answering. Our formalization is based on a situation calculus framework t...
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Exception handling is a powerful abstraction that can be used to help manage errors and support the construction of reliable operating systems. Using exceptions to notify system co...
Francis M. David, Jeffrey C. Carlyle, Ellick Chan,...