We present a software tool that is able to automatically trans-late an NP problem into a STRIPS problem such that the for-mer problem has a solution iff the latter has one, a solution for the latter can be transformed into a solution for the former, and all this can be done efficiently. Moreover, the tool is built such that it only produces problems that belong to a fragment of STRIPS that is solvable in non-deterministic polynomial time, a fact that guarantees that the whole approach is not an overkill. This tool has interesting applications. For example, with the advancement of planning technology, it can be used as an off-the-shelf method to solve general NP problems with the help of planners and to automatically generate benchmark probl...
This paper presents algorithms for five NP-hard problems: the vertex set cover of an undirected grap...
AbstractWe present a unified framework for designing polynomial time approximation schemes (PTASs) f...
We present a unified framework for designing polynomial time approximation schemes (PTASs) for "...
We present a software tool that is able to automatically translate an NP problem into a STRIPS probl...
Recently, it has been shown how to automatically translate any problem in NP, expressed in the langu...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
STRIPS language is a convenient representation for artificial intelligence planning problems. Planni...
Determining whether two STRIPS planning instances are isomorphic is the simplest form of comparison ...
We shape a formal framework for distinguishing the behaviour of constructive and non-constructive po...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
We propose a general approach to modelling algorithmic paradigms for the exact solution of NP-hard p...
The P versus NP problem is one of the most important and unsolved problems in computer science. This...
We implement an online judge for evaluating correctness of reductions between NP-complete problems. ...
We present three new complexity results for classes of plan-ning problems with simple causal graphs....
Abstract. Planning is known to be a difficult task. One of the approaches used to reduce this diffic...
This paper presents algorithms for five NP-hard problems: the vertex set cover of an undirected grap...
AbstractWe present a unified framework for designing polynomial time approximation schemes (PTASs) f...
We present a unified framework for designing polynomial time approximation schemes (PTASs) for "...
We present a software tool that is able to automatically translate an NP problem into a STRIPS probl...
Recently, it has been shown how to automatically translate any problem in NP, expressed in the langu...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
STRIPS language is a convenient representation for artificial intelligence planning problems. Planni...
Determining whether two STRIPS planning instances are isomorphic is the simplest form of comparison ...
We shape a formal framework for distinguishing the behaviour of constructive and non-constructive po...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
We propose a general approach to modelling algorithmic paradigms for the exact solution of NP-hard p...
The P versus NP problem is one of the most important and unsolved problems in computer science. This...
We implement an online judge for evaluating correctness of reductions between NP-complete problems. ...
We present three new complexity results for classes of plan-ning problems with simple causal graphs....
Abstract. Planning is known to be a difficult task. One of the approaches used to reduce this diffic...
This paper presents algorithms for five NP-hard problems: the vertex set cover of an undirected grap...
AbstractWe present a unified framework for designing polynomial time approximation schemes (PTASs) f...
We present a unified framework for designing polynomial time approximation schemes (PTASs) for "...