语言真值格值命题逻辑中的α-语义归结方法

语言值智能信息处理是人工智能的一个重要研究方向,基于归结原理的自动推理因易于在计算机上实现而得到广泛研究。为了提高基于语言真值格值逻辑的α-归结原理的效率,将语义归结策略应用于α-归结原理,研究了基于格值逻辑的归结自动推理方法。首先给出了语言真值格值命题逻辑系统的α-语义归结与L_nP(X)中相应归结水平的语义归结之间的等价性,并通过实例说明其有效性。接着,给出了语言真值格值命题逻辑系统的α-语义归结算法,并证明了该算法的可靠性和完备性。     

格值语义归结推理方法

归结自动推理是人工智能领域的一个重要研究方向,语义归结方法是对归结原理的一种改进,它利用限制参与归结子句类型和归结文字顺序的方法来提高推理效率。基于格蕴涵代数的格值逻辑系统的二归结原理提供了一种处理带有模糊性和不可比较性信息的工具,它能对格值逻辑系统中在一定真值水平下的不可满足逻辑公式给出反驳证明。首先研究了格值逻辑系统上一类广义子句集的性质,该类子句集在任意赋值下能分为两个非空子集,接着讨论了这类广义子句集的语义归结方法,并证明了其可靠性和完备性。     

格值一阶逻辑LF(X)中的α-语义归结方法

自动推理是人工智能的一个重要研究方向,基于归结原理的自动推理因易于在计算机上实现而得到广泛研究。语义归结是对归结原理的一种改进,它利用限制参与归结子句类型和归结文字顺序的方法来提高推理效率。为了提高基于格蕴涵代数的格值逻辑的α-归结原理的效率,将语义归结策略应用于α-归结原理。首先给出了格值一阶逻辑系统中的α-语义归结概念和α-语义归结演绎概念,接着讨论了格值一阶逻辑系统的α-语义归结方法,并证明了其可靠性和条件完备性,最后通过实例说明了其有效性。     

语言真值格值命题逻辑系统中广义文字的归结判定

自动推理是人工智能研究的一个重要内容,基于归结原理的自动推理是自动推理研究的重要分支。基于语 言真值格蕴涵代数的格值逻辑系统能处理带有可比较项和不可比较项的信息或知识,为自动推理研究提供了严格的 逻辑基础。给出了语言真值格蕴涵代数纷相似文献   

命题逻辑中非子句α-有序线性广义归结方法

为了处理在不确定性环境下的自动演绎,重点研究了基于自动推理理论的归结方法,其自动推理理论是真值定义在格蕴涵代数（lattice implication algebra,LIA）结构上格值逻辑系统中的。在已有的确定真值水平α二元归结研究的基础上,作为其继续研究和扩展,引入了基于格值命题逻辑系统LP( X )的非子句多元α-有序线性广义归结方法和演绎,这从本质上避免了一个非子句广义归结演绎到规范子句的形式。随后,得到LP( X )中的非子句多元α-有序线性广义归结演绎是可靠和完备的。该研究工作为格值命题逻辑中基于自动推理的归结提供了一个更有效的方法。     

格值命题逻辑系统L9P(X)中的自动推理算法

给出了格值命题逻辑系统L₉P（X）上的放缩原理和放缩归结原理,基于放缩归结原理,给出了一种判断L₉P（X）上子句集S为M－可满足的自动推理算法（这里M为L₉上的中界元）,并证明了其可靠性和完备性。     

格值命题逻辑系统中广义文字的正规性

基于格蕴涵代数的格值命题逻辑系统能定性地刻画不可比较性和不精确性。广义文字是该系统中α-归结自动推理的核心概念,是α-归结中的最基本单元。公式的正规性是α-归结原理中保持完备性的重要条件,其语义性质是公式形式的重要反映。从语义角度研究了广义文字的正规性,给出了两种典型正规公式F1→F2和(F1→F2)'的真值情况。为讨论广义文字的形式及其α-可归结性提供了理论基础。     

基于格值命题逻辑系统LP(X)的多元α-归结原理的注记

进一步深入研究了基于格蕴涵代数的格值命题逻辑系统LP(X)的多元α-归结原理的基本理论,给出了基于LP(X)的多元α-归结演绎中参与多元α-归结的广义文字个数随着归结演绎的推进而动态变化的基本原则;对基于LP(X)的多元α-归结原理的有效性进行了一定分析,这为建立基于LP(X)的多元α-归结方法以及构造多元α-归结算法奠定了理论基础.     

基于格值一阶逻辑LF（X）的自动推理算法

基于谓词逻辑的归结推理方法是目前理论上较为成熟、可以在计算机上实现的推理方法之一。针对格值一阶逻辑LF(X)中归结自动推理问题,以格值一阶逻辑LF(X)的α-归结原理为理论基础,通过对例子进行分析,提出了LF(X)中简单广义子句集的归结自动推理算法,并证明了该算法的可靠性和完备性。     

基于格值一阶逻辑LF（X）的多元α-归结原理的注记

进一步深入研究了基于格蕴涵代数的格值一阶逻辑系统 LF(X )的多元α-归结原理的基本理论,给出了在基于 LF(X )的多元α-归结演绎中参与多元α-归结的广义文字个数随着归结演绎的推进而动态变化的基本原则。对基于 LF(X )的多元α-归结原理的有效性进行了一定分析;这为建立基于 LF(X )的多元α-归结方法以及构造多元α-归结算法建立了理论基础。     

Filter-based resolution principle for lattice-valued propositional logic LP(X)

As one of most powerful approaches in automated reasoning, resolution principle has been introduced to non-classical logics, such as many-valued logic. However, most of the existing works are limited to the chain-type truth-value fields. Lattice-valued logic is a kind of important non-classical logic, which can be applied to describe and handle incomparability by the incomparable elements in its truth-value field. In this paper, a filter-based resolution principle for the lattice-valued propositional logic LP(X) based on lattice implication algebra is presented, where filter of the truth-value field being a lattice implication algebra is taken as the criterion for measuring the satisfiability of a lattice-valued logical formula. The notions and properties of lattice implication algebra, filter of lattice implication algebra, and the lattice-valued propositional logic LP(X) are given firstly. The definitions and structures of two kinds of lattice-valued logical formulae, i.e., the simple generalized clauses and complex generalized clauses, are presented then. Finally, the filter-based resolution principle is given and after that the soundness theorem and weak completeness theorems for the presented approach are proved.     

Determination of α-resolution in lattice-valued first-order logic LF(X)

Key issues for resolution-based automated reasoning in lattice-valued first-order logic LF(X) are investigated with truth-values in a lattice-valued logical algebraic structure-lattice implication algebra (LIA). The determination of resolution at a certain truth-value level (called α-resolution) in LF(X) is proved to be equivalently transformed into the determination of α-resolution in lattice-valued propositional logic LP(X) based on LIA. The determination of α-resolution of any quasi-regular generalized literals and constants under various cases in LP(X) is further analyzed, specified, and subsequently verified. Hence the determination of α-resolution in LF(X) can be accordingly solved to a very broad extent, which not only lays a foundation for the practical implementation of automated reasoning algorithms in LF(X), but also provides a key support for α-resolution-based automated reasoning approaches and algorithms in LIA based linguistic truth-valued logics.     

IDSRadar: a real-time visualization framework for IDS alerts

Intrusion Detection Systems(IDS) is an automated cyber security monitoring system to sense malicious activities.Unfortunately,IDS often generates both a considerable number of alerts and false positives in IDS logs.Information visualization allows users to discover and analyze large amounts of information through visual exploration and interaction efficiently.Even with the aid of visualization,identifying the attack patterns and recognizing the false positives from a great number of alerts are still challenges.In this paper,a novel visualization framework,IDSRadar,is proposed for IDS alerts,which can monitor the network and perceive the overall view of the security situation by using radial graph in real-time.IDSRadar utilizes five categories of entropy functions to quantitatively analyze the irregular behavioral patterns,and synthesizes interactions,filtering and drill-down to detect the potential intrusions.In conclusion,IDSRadar is used to analyze the mini-challenges of the VAST challenge 2011 and 2012.     

Finite automata theory with membership values in lattices

In this paper, we study finite automata with membership values in a lattice, which are called lattice-valued finite automata. The extended subset construction of lattice-valued finite automata is introduced, then the equivalences between lattice-valued finite automata, lattice-valued deterministic finite automata and lattice-valued finite automata with ε-moves are proved. A simple characterization of lattice-valued languages recognized by lattice-valued finite automata is given, then it is proved that the Kleene theorem holds in the frame of lattice-setting. A minimization algorithm of lattice-valued deterministic finite automata is presented. In particular, the role of the distributive law for the truth valued domain of finite automata is analyzed: the distributive law is not necessary to many constructions of lattice-valued finite automata, but it indeed provides some convenience in simply processing lattice-valued finite automata.     

ON SEMANTICS OF L-VALUED FIRST-ORDER LOGIC Lvft

Abstract

Many-valued logic system always plays a crucial role in artificial intelligence. Many researchers have paid considerable attention to lattice-valued logic with truth values in a lattice. In this paper, based on lattice implication algebras introduced by Xu (Journal of Southwest Jiaolong University (in Chinese), Sum. No. 89(1), 20-27, 1993, and L-valued propositional logic _vft, established by Xu et al. (Information Sciences, 114, 20S-235, 1999a), the semantics of a L-type lattice-valued first-order logic L_vft, with truth values in lattice implication algebras were investigated. Some basic concepts about semantics of L_vftsuch as the language and the interpretation etc. were given and some semantic properties also were discussed. Finally, a concept of g-Skolem standard form was introduced, and it was shown that the unsatisfiability of a given lattice-valued formula was equivalent to that of its g-Skolem standard form. It will become a foundation to investigate the resolution principle based on first-order logic L_vft