Slr Inference : an Inference Systemfor Fixed - Mode Logic Programs , Based on Slr

نویسندگان

  • DAVID A. ROSENBLUETH
  • David A. Rosenblueth
چکیده

Deenite-clause grammars (DCGs) generalize context-free grammars in such a way that Prolog can be used as a parser in the presence of context-sensitive information. Prolog's proof procedure, however, is based on back-tracking, which may be a source of ineeciency. Parsers for context-free grammars which use backtracking, for instance, were soon replaced by more eecient methods such as LR parsers. This suggests incorporating the principles underlying LR parsing into a parser for grammars with context-sensitive information. We present a technique which applies a transformation to the program/grammar by adding leaves to the proof/parse trees and placing the contextual information in such leaves. An inference system is then easily obtained from an LR parser, since only the parts dealing with terminals (which appear at the leaves) must be modiied. Although our method is restricted to programs with xed modes, it may be preferable to DCGs under Prolog for some programs.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Prioritization Model for HSE Risk Assessment Using Combined Failure Mode, Effect Analysis, and Fuzzy Inference System: A Case Study in Iranian Construction Industry

The unavailability of sufficient data and uncertainty in modeling, some techniques, and decision-making processes play a significant role in many engineering and management problems.  Attain to sure solutions for a problem under accurate consideration is essential.  In this paper, an application of fuzzy inference system for modeling the indeterminacy involved in the problem of HSE risk assessm...

متن کامل

Detection of gene-gene interactions using multistage sparse and low-rank regression.

Finding an efficient and computationally feasible approach to deal with the curse of high-dimensionality is a daunting challenge faced by modern biological science. The problem becomes even more severe when the interactions are the research focus. To improve the performance of statistical analyses, we propose a sparse and low-rank (SLR) screening based on the combination of a low-rank interacti...

متن کامل

J2: An evaluation of new estimates from GPS, GRACE, and load models compared to SLR

[1] Changes in J2, resulting from past and present changes in Earth’s climate, are traditionally observed by Satellite Laser ranging (SLR). Assuming an elastic Earth, it is possible to infer changes in J2 from changes in Earth’s shape observed by GPS. We compare estimates of non‐secular J2 changes from GPS, SLR, GRACE, and a load model. The GPS and SLR annual signals agree but are different (16...

متن کامل

A New Fuzzy Sliding Mode Controller with Auto-Adjustable Saturation Boundary Layers Implemented on Vehicle Suspension

This study develops a fuzzy sliding mode controller (FSMC) based on a variable boundary layer. A fuzzy inference mechanism is used to on-line tune the thickness of the boundary layers of the controller. Minimum rule base has been used for the fuzzy inference system which results in low calculation effort. The aim of this paper is to design a controller which will eliminate the chattering of FSM...

متن کامل

ROBUSTNESS OF THE TRIPLE IMPLICATION INFERENCE METHOD BASED ON THE WEIGHTED LOGIC METRIC

This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple impli...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1994