Safe Formulas in the General Theory of Stable Models (Preliminary Report)
نویسندگان
چکیده
Safe first-order formulas generalize the concept of a safe rule, which plays an important role in the design of answer set solvers. We show that any safe sentence is equivalent, in a certain sense, to the result of its grounding—to the variable-free sentence obtained from it by replacing all quantifiers with multiple conjunctions and disjunctions. It follows that a safe sentence and the result of its grounding have the same stable models, and that stable models of a safe sentence can be characterized by a formula of a simple syntactic form.
منابع مشابه
A Decidable Class of Groundable Formulas in the General Theory of Stable Models
We present a decidable class of first-order formulas in the general theory of stable models that can be instantiated even in the presence of function constants. The notion of an argument-restricted formula presented here is a natural generalization of both the notion of an argument-restricted program and the notion of a semi-safe sentence that have been studied in different contexts. Based on t...
متن کاملOn Equivalent Transformations of Infinitary Formulas under the Stable Model Semantics (Preliminary Report)
It has been known for a long time that intuitionistically equivalent formulas have the same stable models. We extend this theorem to propositional formulas with infinitely long conjunctions and disjunctions and show how to apply this generalization to proving properties of aggregates in answer set programming.
متن کاملOUTPATIENT RETINAL DETACHMENT SURGERY: A PRELIMINARY REPORT
Retinal detachment surgery has been considered an inpatient hospital procedure requiring preoperative and postoperative hospitalization. In this pilot study, outpatient retinal detachment surgery was performed on sixteen patients and the results (100% success rate after an average follow-up of 8.3 months) were comparable or better than reported overall success rates for retinal detachment ...
متن کاملSystem f2lp - Computing Answer Sets of First-Order Formulas
We present an implementation of the general language of stable models proposed by Ferraris, Lee and Lifschitz. Under certain conditions, system f2lp turns a first-order theory under the stable model semantics into an answer set program, so that existing answer set solvers can be used for computing the general language. Quantifiers are first eliminated and then the resulting quantifier-free form...
متن کاملA New Stock Model for Option Pricing in Uncertain Environment
The option-pricing problem is always an important part in modern finance. Assuming that the stock diffusion is a constant, some literature has introduced many stock models and given corresponding option pricing formulas within the framework of the uncertainty theory. In this paper, we propose a new stock model with uncertain stock diffusion for uncertain markets. Some option pricing formulas on...
متن کامل