Model Checking: New Challenges and Opportunities for Automated Reasoning (invited talk)

Some work has been done on handling datatypes [4, 16] and recursive functions in SMT solvers such as CVC4 [17] or calling an SMT solver repeatedly while expanding function

Depending on the level of abstraction, a place may be either, a decision point in a route graph, at which reorientation is needed to connect incoming and outgoing route segments;

In this paper we address the two mentioned problems by proposing a representation of the notions underlying the SemSim semantic similarity method [2], according to

As should be expected these revolve around the so- called Vs of big data and involve: (a) handling large data volumes; (b) combining streaming data with existing legal knowledge;

We find evidence for correspondence with postulate U1, which states that updating with the new fact must ensure that the new fact is a consequence of the update.. We find evidence

The Internet paths connecting independently operated networks, also called domains or autonomous systems (ASes), are driven by semantically rich policies: the interdomain

I will first present how to learn conceptual space representations from data, and then introduce some inductive reasoning techniques that use conceptual spaces together with

Heatmaps of (guess vs. slip) LL of 4 sample real GLOP datasets and the corresponding two simulated datasets that were generated with the best fitting