We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
It is well known that our prior knowledge and experiences affect how we learn new concepts. Although several formal modeling attempts have been made to quantitatively describe the ...
Abstract. This paper describes an attempt to combine theorem proving and model-checking to formally verify real-time systems in a discrete time setting. The Timed Automata Modeling...
We present a new approach to the verification of hardware systems with data dependencies using temporal logic symbolic model checking. As a benchmark we take Tomasulo's algori...
Sergey Berezin, Armin Biere, Edmund M. Clarke, Yun...
Modeling hardware through atomic guard/action transitions with interleaving semantics is popular, owing to the conceptual clarity of modeling and verifying the high level behavior ...
Xiaofang Chen, Steven M. German, Ganesh Gopalakris...