Abstract. We describe a symbolic heap abstraction that unifies reasoning about arrays, pointers, and scalars, and we define a fluid update operation on this symbolic heap that rela...
This paper reports our experience with representing and reasoning with context information within the CARE middleware. CARE was developed to support context-aware service adaptati...
We introduce a uniform approach of representing a variety of paraconsistent non-monotonic formalisms by quantified Boolean formulae (QBFs) in the context of four-valued semantics. ...
Representing and reasoning about time dependent information is a key research issue in many areas of computer science and artificial intelligence. One of the best known and widely...
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...