The paper outlines a symbolic modeling approach developed in Glushkov Institute of Cybernetics and applied in verification and model-based testing. This method is the result of 10 years of experience in a large amount of industrial projects in different subject domains. The models in this approach are presented as UCM (Use Case Maps) notation composed with basic protocols formal language. Symbo...

Abstract We introduce a neuro-symbolic natural logic framework based on reinforcement learning with introspective revision. The model samples and rewards specific reasoning paths through policy gradient, in which the revision algorithm modifies intermediate symbolic steps to discover reward-earning operations as well leverages external knowledge alleviate spurious training inefficiency. is supp...

This book presents a morphogenetic perspective on human culture and focuses visual communication, music, religion, language

This paper describes a novel approach to handling translation divergences in a Generation-Heavy Hybrid Machine Translation (GHMT) system. The translation divergence problem is usually reserved for Transfer and Interlingual MT because it requires a large combination of complex lexical and structural mappings. A major requirement of these approaches is the accessibility of large amounts of explic...

The purpose of the paper is to provide an automatic transformation of parallel programs of an imperative probabilistic guarded command language (called Probmela) into probabilistic reactive module specifications. The latter serve as basis for the input language of the symbolic MTBDD-based probabilistic model checker PRISM, while Probmela is the modeling language of the model checker LiQuor whic...

Dynamic symbolic execution (DSE) is a well-known technique for automatically generating tests to achieve higher levels of coverage in a program. Two keys ideas of DSE are to: (1) seed symbolic execution by executing a program on an initial input; (2) using concrete values from the program execution in place of symbolic expressions whenever symbolic reasoning is hard or not desired. We describe ...

The purpose of the paper is to provide an automatic transformation of parallel programs of an imperative probabilistic guarded command language (called Probmela) into probabilistic reactive module specifications. The latter serve as basis for the input language of the symbolic MTBDD-based probabilistic model checker PRISM, while Probmela is the modeling language of the model checker LiQuor whic...

This paper is devoted to complex system modeling, that is to say modeling recursively systems by interconnecting component models. Our concern is to address the potential heterogeneity induced by the usage of different modeling formalisms for describing different component models involved in a common system. The main difficulty is each modeling language has its own execution and communication s...