We introduce a segment-offset-plane memory model for symbolic execution that supports symbolic pointers, allocations of memory blocks of symbolic sizes, and multi-writes. We further describe our efficient implementation of the model in a free open-source project Bugst. Experimental results provide empirical evidence that the implemented memory model effectively tackles the variable storage-refe...

In this paper, a new approach for hardware verification using symbolic state transition graph (implemented in BDDs) is presented . We propose a novel idea, symbolic state transition graph (symbolic STG), which can represent FSM in terms of the relations between symbolic input variables, state variables, and output results rather than the ezact input-output bit patterns. Compared to the conventi...

Symbolic reasoning about continuous dynamic systems requires consistent qualitative abstraction functions and a consistent symbolic model. Classically, symbolic reasoning systems have utilized a box partition of the system space to achieve qualitative abstraction, but boxes can not provide a consistent abstraction. Our Q methodology abstracts a provably consistent symbolic representation of noi...

What are the key cognitive factors that characterize the potential difference between symbolic and nonsymbolic representations of numerical magnitude, and can individual variability in such factors be used to predict differences in more complex mathematical processes? We suggest that the availability of information about relative numerical order is a critical factor that distinguishes symbolic ...

This paper discusses some ways in which neural networks can be used to bridge the gap between non-symbolic and symbolic representations. For symbolic representations we consider both propositional and predicate logic. The method used for grounding representations in predicate logic is then shown to be useful in a general cognitive architecture. In the methods described here the system can move ...