In this paper we present the extension of an existing method for abstract graph-based state space exploration, called neighbourhood abstraction, with a reduction technique based on subsumption. Basically, one abstract state subsumes another when it covers more concrete states; in such a case, the subsumed state need not be included in the state space, thus giving a reduction. We explain the theory and especially also report on a number of experiments, which show that subsumption indeed drastically reduces both the state space and the resources (time and memory) needed to compute it
AbstractWhen analysing a concurrent program in order to verify its correctness one faces a severe co...
State-set search is state space search when the states being manipulated by the search algorithm are...
This paper is concerned with a memory-efficient representation of reachability graphs. We describe a...
In this paper we present the extension of an existing method for abstract graph-based state space ex...
Abstract: Important classes of graph grammars have infinite state spaces and there-fore cannot be ve...
Most existing abstraction algorithms are sensitive to the initial problem formulation. Given two dif...
In this paper we discuss the implementation of neighbourhood graph abstraction in the GROOVE tool se...
International audienceIn this paper, we propose a method for the automatic construction of an abstra...
Important classes of graph grammars have infinite state spaces and therefore cannot be verified with...
Abstraction has been used in combinatorial search and action planning from the very beginning of AI....
AbstractGraphs may be used as representations of system states in operational semantics and model ch...
Informally, a set of abstractions of a state space S is additive if the distance between any two sta...
Informally, a set of abstractions of a state space S is additive if the distance between any two sta...
Modelling abstraction as a function from the original state space to an abstract state space is a co...
AbstractAbstraction is a powerful technique for speeding up planning and search. A problem that can ...
AbstractWhen analysing a concurrent program in order to verify its correctness one faces a severe co...
State-set search is state space search when the states being manipulated by the search algorithm are...
This paper is concerned with a memory-efficient representation of reachability graphs. We describe a...
In this paper we present the extension of an existing method for abstract graph-based state space ex...
Abstract: Important classes of graph grammars have infinite state spaces and there-fore cannot be ve...
Most existing abstraction algorithms are sensitive to the initial problem formulation. Given two dif...
In this paper we discuss the implementation of neighbourhood graph abstraction in the GROOVE tool se...
International audienceIn this paper, we propose a method for the automatic construction of an abstra...
Important classes of graph grammars have infinite state spaces and therefore cannot be verified with...
Abstraction has been used in combinatorial search and action planning from the very beginning of AI....
AbstractGraphs may be used as representations of system states in operational semantics and model ch...
Informally, a set of abstractions of a state space S is additive if the distance between any two sta...
Informally, a set of abstractions of a state space S is additive if the distance between any two sta...
Modelling abstraction as a function from the original state space to an abstract state space is a co...
AbstractAbstraction is a powerful technique for speeding up planning and search. A problem that can ...
AbstractWhen analysing a concurrent program in order to verify its correctness one faces a severe co...
State-set search is state space search when the states being manipulated by the search algorithm are...
This paper is concerned with a memory-efficient representation of reachability graphs. We describe a...