Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
Abstract. We present an approach to agents that can reason, react to the environment and are able to update their own knowledge as a result of new incoming information. Each agents...
We present a two dimensional temporal structure that has an ever changing present. Relative to each present, there is a past and future. The main representational advantage our tw...
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
We develop the default logic for pragmatic analysis of natural language queries. Ambiguous sentences are considered so that each set of meanings is assigned an extension of defaul...