We consider the concept of a local set of inference rules. A local rule set can be automatically transformed into a rule set for which bottom up evaluation terminates in polynomial time. The local rule set transformation gives polynomial time evaluation strategies for a large variety of rule sets that can not be given terminating evaluation strategies by any other known automatic technique. This paper discusses three new results. First, it is shown that every polynomial time predicate can be defined by an (unstratified) local rule set. Second, a new machine recognizable subclass of the local rule sets is identified. Finally we show that locality, as a property of rule sets, is undecidable in general. This paper appeared in KR-92. A postscri...
AbstractWe elaborate locally complete inference rules for probabilistic deduction from taxonomic and...
We elaborate locally complete inference rules for probabilistic deduction from taxonomic and probabi...
: We have argued elsewhere that first order inference can be made more efficient by using non-standa...
We consider the concept of local sets of inference rules. Locality is a syntactic condition on rul...
A procedure is given for recognizing sets of inference rules that generate polynomial time decidab...
We present a general framework which allows to identify complex theories important in verification f...
Locality notions in logic say that the truth value of a formula can be determined locally, by lookin...
Locality notions in logic say that the truth value of a formula can be determined locally, by lookin...
The goal of this paper is to illustrate the wide applicability in verification of results on local r...
Locality notions in logic say that the truth value of a formula can be determined locally, by lookin...
This paper presents systems for first-order intuitionistic logic and several of its extensions in wh...
The concept of well-behaved inference rules is developed in first-order polynomial-based theorem pro...
The concept of well-behaved inference rules is developed in first-order polynomial based theorem pro...
In this paper we compare three approaches to polynomial time decidability for uniform word problems ...
International audienceWe study first-order logic over unordered structures whose elements carry two ...
AbstractWe elaborate locally complete inference rules for probabilistic deduction from taxonomic and...
We elaborate locally complete inference rules for probabilistic deduction from taxonomic and probabi...
: We have argued elsewhere that first order inference can be made more efficient by using non-standa...
We consider the concept of local sets of inference rules. Locality is a syntactic condition on rul...
A procedure is given for recognizing sets of inference rules that generate polynomial time decidab...
We present a general framework which allows to identify complex theories important in verification f...
Locality notions in logic say that the truth value of a formula can be determined locally, by lookin...
Locality notions in logic say that the truth value of a formula can be determined locally, by lookin...
The goal of this paper is to illustrate the wide applicability in verification of results on local r...
Locality notions in logic say that the truth value of a formula can be determined locally, by lookin...
This paper presents systems for first-order intuitionistic logic and several of its extensions in wh...
The concept of well-behaved inference rules is developed in first-order polynomial-based theorem pro...
The concept of well-behaved inference rules is developed in first-order polynomial based theorem pro...
In this paper we compare three approaches to polynomial time decidability for uniform word problems ...
International audienceWe study first-order logic over unordered structures whose elements carry two ...
AbstractWe elaborate locally complete inference rules for probabilistic deduction from taxonomic and...
We elaborate locally complete inference rules for probabilistic deduction from taxonomic and probabi...
: We have argued elsewhere that first order inference can be made more efficient by using non-standa...