We present a static analysis approach that combines concrete values and symbolic expressions. This value-flow (“symvalic”) models program behavior with high precision, e.g., full path sensitivity. To achieve deep modeling of semantics, the relies on symbiotic relationship between traditional fixpoint computation solver: solver does not merely receive complex “path condition” to solve, but is in...

The dominant knowledge modeling paradigm in the KA eld assumes that old knowledge expressed symbolically (i.e. problem-solving strategies or ontologies) is a productivity tool for building new knowledge bases. That is, it assumes that knowledge is context-independent. Researchers of situated cognition (SC) claims that knowledge is mostly context-dependent and that concepts elicited prior to dir...

There has been much discussion recently about the scope and limits of purely symbolic models of the mind and abotlt the proper role of connectionism in cognitive modeling. This paper describes the "symbol grounding problem": How can the semantic interpretation of a formal symbol system be made intrinsic to the system, rather than just parasitic on the meanings in our heads? How can the meanings...

1 Summary We propose to concentrate on investigations of technology in support of advanced scientiic computation, based on a higher-level view of the relationship of mathematical modeling to computation. This is based on the following considerations: 1. Symbolic mathematical manipulation and computer algebra systems: These are tools and techniques that support problem solving, code development,...

A recent trend in the analysis of object-oriented programs is the modeling of references as sets of guarded values, enabling multiple heap shapes to be represented in a single state. A fundamental problem with using these guarded value sets is the inability to generate test inputs in a manner similar to symbolic execution based analyses. Although several solutions have been proposed, none have ...

This paper introduces a new technique for generating Binary Decision Diagrams (BDDs) representing high-level model’s underlying state/transition systems. The obtained decision diagram may serve as input for various analysis methods such as symbolic (probabilistic) model checking and/or Markovian performance and reliability analysis. As usual the proposed technique makes use of partitioned symbo...