Near-Horn Prolog: Extending Yet Preserving Prolog

近号角 Prolog:扩展但保留 Prolog

基本信息

  • 批准号:
    8900383
  • 负责人:
  • 金额:
    $ 16.45万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    1989
  • 资助国家:
    美国
  • 起止时间:
    1989-10-01 至 1992-03-31
  • 项目状态:
    已结题

项目摘要

Near-Horn Prolog (nH-Prolog) is an extension of Prolog to handle disjunction and classical negation while retaining the positive attributes of Prolog inner-loop speed is achieved; the Prolog format is also preserved by retaining a positive implication logic. Limited experience with a prototype interpreter suggest that this approach works well when there are very few "non-Prolog" (indefinite clauses. It is conjectured that many problems that fall outside the Prolog domain have very few violating clauses. The study of nH-Prolog will be continued by building a state-of-the-art compiler whose inner-loop speed closely approximates that of existing Prolog compilers. An appropriate abstract machine based on the WAM will be designed, taking advantage of nH-Prolog's similarity to Prolog. Challenging conceptual problems exist in allowing negation-as-failure to coexist with classical negation; other procedural questions arise. Standard optimization tricks can be exploited only if variant formations of nH- Prolog are possible. A parallel variant of nH-Prolog is to be designed and implemented, a project summary.
Near-Horn PROLOG(NH-PROLOG)是PROLOG的扩展,用于处理析取和经典否定,同时保留了PROLOG的正属性,实现了内环速度;通过保留正蕴涵逻辑,也保留了PROLOG格式。有限的原型解释器经验表明,当有很少的“非序言”(不定子句)时,这种方法工作得很好。据推测,许多不属于PROLOG领域的问题都有很少的违规条款。NH-PROLOG的研究将通过建立一个最先进的编译器来继续,它的内部循环速度非常接近现有的PROLOG编译器。利用NH-PROLOG与PROLOG的相似性,设计了一个基于WAM的抽象机。在允许作为失败的否定与经典否定共存时,存在具有挑战性的概念问题;其他程序性问题也随之出现。只有在NH-PROLOG的不同形式可能的情况下,才能利用标准的优化技巧。将设计和实施NH-PROLOG的并行变体,项目摘要。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Donald Loveland其他文献

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning
零阶 SciML:科学软件与深度学习的非侵入式集成
  • DOI:
    10.48550/arxiv.2206.02785
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ioannis C. Tsaknakis;B. Kailkhura;Sijia Liu;Donald Loveland;James Diffenderfer;A. Hiszpanski;Min
  • 通讯作者:
    Min
The algorithm to infer production rules of the molecular NCE grammar and parse molecular graphs
推断分子NCE语法产生规则并解析分子图的算法
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ioannis C. Tsaknakis;B. Kailkhura;Sijia Liu;Donald Loveland;James Diffenderfer;A. Hiszpanski;Min
  • 通讯作者:
    Min

Donald Loveland的其他文献

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{{ truncateString('Donald Loveland', 18)}}的其他基金

Workshop on Future Directions of Automated Deduction, March 2-3, l996, Chicago, IL
自动演绎未来方向研讨会,1996 年 3 月 2-3 日,伊利诺伊州芝加哥
  • 批准号:
    9625544
  • 财政年份:
    1996
  • 资助金额:
    $ 16.45万
  • 项目类别:
    Standard Grant
U.S.-Germany Cooperative Research to Enhance the Performance of the Model Elimination Proof Procedure
美德合作研究提高模型消除证明程序的性能
  • 批准号:
    9514375
  • 财政年份:
    1996
  • 资助金额:
    $ 16.45万
  • 项目类别:
    Standard Grant
Linear Input Theorem Provers: Design & Performance Enhancement
线性输入定理证明器:设计
  • 批准号:
    9116203
  • 财政年份:
    1992
  • 资助金额:
    $ 16.45万
  • 项目类别:
    Continuing Grant
Extending the Domain of Logic Programming
扩展逻辑编程的领域
  • 批准号:
    8805696
  • 财政年份:
    1988
  • 资助金额:
    $ 16.45万
  • 项目类别:
    Standard Grant
Dialog Processing for Voice Interactive Problem Solving (Computer and Information Science)
用于语音交互问题解决的对话处理(计算机与信息科学)
  • 批准号:
    8603231
  • 财政年份:
    1986
  • 资助金额:
    $ 16.45万
  • 项目类别:
    Continuing Grant
Mechanical Theorem Proving: Theory and Practice
力学定理证明:理论与实践
  • 批准号:
    7500666
  • 财政年份:
    1975
  • 资助金额:
    $ 16.45万
  • 项目类别:
    Standard Grant

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