The probabilistic method leverages statistical algorithms and fuzzy logic to indicate a match. 概率性方法利用统计算法和模糊匹配逻辑来指示匹配。
When it comes to non binary logic, for example modal logic or probabilistic logic, humans often perform better. 当需要处理非二进制逻辑的时候,比方说模态逻辑或者机率逻辑,人会表现得更好。
A method of probabilistic logic reasoning on Bayesian networks 基于贝叶斯网的一种概率逻辑推理方法
Based on the Markov random field with new features, this paper presents the probabilistic logic model to model the probabilistic behavior of nanoscale inverter and adder. 纳米级数字电路应用时,必须考虑设备故障对纳米级设计的影响。
Incidence of belief logical formula and probability of probabilistic logic formula 相信逻辑公式的影响范围与概率逻辑公式的概率
Calculation the Number of Valid Assignments of the Formula Set in Probabilistic Logic 推理树概率逻辑公式集有效赋值列数计算
Probabilistic logic was proposed by Boole~ [ 42] and rediscovered by Nilsson~ [ 12] There exist some severe problems in Nilsson's probabilistic logic, for example, high computational complexity and inferential vacuousness-inferences typically lead to large probability intervals. Nilsson的概率逻辑存在着一些严峻的问题,例如高计算复杂度,推理的盲目性,比较典型的是,推理导致巨大的概率区间。
By using probabilistic statistic method, logic information method and gray cluster method, possibility and magnitude of induced earthquake of the Xiaolangdi reservoir are forecasted. 在此基础上,采用概率预测法对小浪底水库诱发地震的可能性进行了研究.利用逻辑信息法和灰色聚类法对诱发地震的强度进行了预测。
The key to such problems is probabilistic logic, which is not yet well developed and can not be widely used in non-deterministic reasoning. 概率测度是研究不确定性问题的重要数学工具,但作为概率推理理论基础的概率逻辑发展不够成熟,影响了它在不确定性推理中的广泛应用。
The analysis of the convergence of probabilistic logic neuron networks 概率逻辑神经元网络收敛性的分析
In this paper, probability is introduced based on belief logic, and a probabilistic belief logic& PBL is given, which can improve the expressive power and deductive power of belief logic. 在信念逻辑基础上,引入概率,给出了一种概率信念逻辑PBL,增强了信念逻辑的表述能力和推理能力。
Probabilistic logic in Artificial Intelligence Science 人工智能科学中的概率逻辑
On memory capacity of the probabilistic logic neuron network 概率逻辑神经元网络的记忆容量
PKI Trust Model Analysis Based on Probabilistic Model and Conditional Predicate Calculus Logic 基于概率和条件逻辑的PKI信任模型推理
Validity of the decomposition model with conjunction of multi atomic sets for probabilistic logic 概率逻辑含多重原子交集分解模型的可靠性
The Completeness of the Super tree like Decomposition Model for Probabilistic Logic 概率逻辑类超树结构分解计算模型的完备性
Firstly, the paper, through the introduction of several classical logics and non-classical logics, and then discussed emphatically the principle of universal logic and three-valued probabilistic logic. 本文首先对传统的几种经典逻辑和非经典逻辑大致做一介绍,然后重点讲述泛逻辑以及三值概率逻辑的基本原理。
The approach, which is different from Nilsson's probabilistic logic, associates the probabilities with formulae indirectly, and then some of its connectives are truth functional. 该方法不同于Nilsson的方法,它使得概率与公式不直接相关,因此某些连接词具有了真值函数性。
A weak-dependent-decomposition approach for probabilistic logic 概率逻辑推理的弱相关分解方法
Advances in Probabilistic Logic Model and Learning 概率逻辑模型与学习研究进展
The Compatibility of the Different-structured Decomposition-patterns for Probabilistic Logic 概率性逻辑异构分解模式的相容性
Probabilistic Logic makes use of the method of logic reasoning to deal with the uncertain reasoning, which is cause by randomicity. 概率逻辑是用逻辑推理的方法解决因随机性引起的不确定性推理问题。
A Petri net model for the generation of possible worlds of probabilistic logic 概率逻辑可能世界的Petri网模型
The Study of Probabilistic Logic 概率逻辑的研究
In this paper, the main behaviors of PLN ( Probabilistic Logic Neuron) networks are investigated quantitatively using Markov chain theory. 本文以马尔科夫链理论为工具,研究PLN(概率逻辑神经元)网络的定量性质。
In order to reduce the complexity in the calculation model of Nilsson's probabilistic logic, the authors presented a new approach with the super tree like decomposition model in this paper, and proved the completeness theorem of the given method. 针对Nilsson概率逻辑推理在计算规模方面存在的问题,本文给出了公式集按类超树结构分解的计算模型,并证明了分解算法的完备性。
Then we narrated probabilistic logic which is a method of uncertain reasoning based on logics and probability theory, and studied primarily the two-valued probabilistic logic and three-valued probabilistic logic. 然后讲述了逻辑学与概率论两大理论基础之上的不确定性推理方法&概率逻辑,重点研究了二值概率逻辑与三值概率逻辑。
So Bundy introduced incidence calculus, which is a probabilistic logic developed from prepositional logic. 因此我们引入Bundy的发生率计算理论,它是从命题逻辑发展而来的概率逻辑。
Probabilistic graphical models enable us to efficiently handle uncertainty. First-order logic enables us to compactly represent a wide variety of knowledge. Combining the both in a single representation has been a longstanding goal of AI research. 概率图模型能很好处理不确定性,一阶逻辑可以简洁地表示知识,将概率与逻辑整合在同一个表示之中一直是人工智能领域的一个长期目标。
The three important schools of probabilistic inductive logic are the Logic Bayesian, Subjective Bayesian and Empiricism School. 概率归纳逻辑由于对概率的不同认识而被学术界普遍分为了不同的流派,其中最重要的三个流派是:逻辑贝叶斯派、主观贝叶斯派和经验主义学派。