查询词典 knowledge-box

By 5ft/line of sight Extraordinary Abilities: Selective damage, 72 Secret Transformation, Monkey hairs Special Qualities: Instantaneous movement Saves: Fort+27, Ref+31, Will+21 Ablilities: Str29, Dex29, Con20, Int27, Wis8, Cha26 Skills: Balance+19, Bluff+35, Escape Artise+42, Hnadle Animal+19, Hide+35, Knowledge+24, Knowledge+24, Knowledge+24, Knowledge+24, Knowledge+24, Knowledge+24, Listen+34, Move Silently+37, Pick Pocket+30, Scry+28, Sense Motive+25, Spot+32, Tumble+42 Feats: Alterness, Ambidexterity, Blind-Fight, Combat Reflexes, Deflect Arrows, Dodge, Expertise, Improved Trip, Improved Two Weapon Fighting, Improved Unarmed Strike, Leadership, Mobility, Quick Draw, Spring Attack, Whirlwind Attack Climate/Terrain: Any land Organization: Unique Challenge Rating: No hope Treasure: Only magic Alignment: Chaotic netural Combat Selective Damage: Monkey's preferred weapon, the Iron Ballast Rod, once used to keep the oceans calm is immensely large and heavy.

翻译如下中体形魔法兽生命骰：20d10+100(210hp)优先权：总是先攻速度：瞬移，飞行瞬移 AC： 35(+9 敏捷，+4 天生，+12 凤凰甲)措手不及：26，接触：19 攻击：金箍棒+27/+22/+17/+12 近战，拳头+27/+22 近战伤害： 1d1000 金箍棒， 2d12+9 拳头面宽/触及： 5尺x5尺/视线以内特异能力：选择性伤害， 72变，毫毛特性：瞬间移动豁免：强韧+27，反射+31，意志+21 属性：力量29，敏捷29，体质20，智力27，感知8，魅力26 技能：平衡+19，唬骗+35，逃脱+42，驯养动物+19，躲藏+35，知识+24，知识+24，知识+24，知识+24，知识+24，知识+24，聆听+34，潜行+37，扒窃+30，探知+28，察言观色+25，侦察+32，滚翻+42 专长：警觉，双巧手，盲斗，战斗反射，拨挡箭矢，闪避，寓守于攻，精通拌摔，精通双武器攻击，精通徒手打击，领导力，灵活移动，即时备战，跳跃攻击，旋风攻击气候/地形：任何地面组织：唯一挑战级数：无望宝藏：只有魔法物品阵营：混乱中立战斗选择性伤害：猴子的首选武器——定海神针铁，曾一度被用于保持海洋的稳定——极其巨大与沉重。

Secondly, the knowledge induced from experience, sample knowledge, model quantified knowledge are integrated organically in the field of ship design. The compound knowledge model is raised. A standardized modal system of compound knowledge in intelligent 3D-layout design of ship compartments is set up, by using object-oriented classify-decomposed relation and mixed knowledge expression of frames, regulars and methods. The intelligent support system of intelligent 3D optimal layout design of ship compartments is established based on compound knowledge base and inference engine.

其次，将船舶布置设计领域中经验归纳性知识、实例样本知识、模型数量化知识三者有机集成，提出了复合知识模型；结合舱室智能三维布置设计采用面向对象的知识分类分解关系及用框架、规则、方法的混合知识表达形式建立了一套复合知识规范化的形式描述体系，介绍了相应的推理机构造方法，提出了基于神经网络的舱室布置设计实例检索模型，并首次将其用于舱室布置设计实例的检索。

This paper proposed an issue on existing heterogeneous knowledge reuse based on the solution of knowledge reuse of knowledge equivalent mapping from knowledge representation level, since existing knowledge representation and ontology knowledge representation weren't on the same base of logic system.

由于已有知识表示和本体知识表示并不在同一逻辑体系基础上，从知识表示层面提出了一种基于知识等价映射的知识重用方法解决对已有异构知识的重用问题。

The third is the evolution of knowledge: Because of the limit of human's cognition, knowledge in a person's brain keeps on evoluting. So the knowledge in an intelligent system which simulates cognition should also evolute. The evolution of knowledge in the CM includes the evolution of background knowledge and problem solving knowledge.

最后是系统知识进化的思想：因为人的认识能力的局限性，人的知识一直处于不断的进化过程中；体现知识模拟的知识库系统也应当是进化的；CM方法论中的进化过程包括背景知识进化和面向问题求解知识对象的进化，为此，CM方法论中定义了关于知识对象及其背景知识的一系列操作。

The knowledge lattice theory is the generalization of traditional lattice theory, and it may be applied in knowledge engineering, knowledge management, knowledge grid, knowledge base grid and knowledge network.

该知识格理论是传统格理论的推广，可以应用在知识工程、知识管理、知识网格、知识库网格和知识网络中，弥补了目前知识研究中存在的不足。

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用"描述框架+规则组"的层次结构，"描述框架"用于描述问题域所涉及的因素，"规则组"反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

First, in the aspect of influence of knowledge transaction cost factors on the choice of knowledge transfer mechanisms,"task uncertainty","information completeness","information asymmetry", and "knowledge tacitness" had direct influence on knowledge buyers when they chose knowledge transfer mechanisms. While "trust","task uncertainty","information completeness","knowledge tacitness","knowledge asset specificity" had indirect influence on the choice of knowledge transfer mechanisms.

在知识交易成本因子对知识移转机制选择之影响方面，「任务不确定性」、「资讯完备性」、「资讯不对称性」与「知识内隐性」对组织内知识需求者知识移转机制选择有直接影响，而「信任」、「任务不确定性」、「资讯完备性」、「知识内隐性」与「知识资产特殊性」则是对知识移转机制选择有间接影响；2。

Knowledge tacitness, knowledge management strategy and absorptive ability, trust, interaction degree and prior experience have outstanding effects on tacit knowledge transfer in all the three enterprise external relationships; knowledge background similarity shows effects in transferring collaborators and competitors" tacit knowledge with no effects for the customers"; relationship strategy and collaborate level, tacit knowledge transfer benefits, customer type are the factors that affect companys tacit knowledge transfer with their collaborators, competitors and customers respectively.

第三，在缄默知识传递效果影响因素方面，知识缄默程度、企业的知识管理策略和吸收能力、企业相互之间的信任、交流程度、前期经验这些因素对三种关系的企业间缄默知识传递效果都具有影响作用，知识背景相似性在企业与合作者和竞争者这两种关系间具有显著的影响作用，在企业与客户之间不具有影响作用，企业的关系战略和合作水平、知识传递收益、客户类型分别对企业与合作者、竞争者、客户之间缄默知识传递具有影响作用

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用&描述框架+规则组&的层次结构，&描述框架&用于描述问题域所涉及的因素，&规则组&反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

Based on the categorical knowledge representation and improving the completeness of categorical knowledge pieces,we present a knowledge reasoning method using the categorical construction of analogical functors and pushouts,through knowledge association and deduction,to achieve the supplements of objects and morphisms.This dissertation proposes a similarity measure method for decision-making knowledge acquisition based on greatest common subcategory,and this method calculates the similarity between knowledge pieces from the perspectives of objects,morphisms,types and type categories.A knowledge merging method and the measure of multiple knowledge pieces merging are also presented.

在范畴化知识表示的基础上，为提高范畴化知识片断的完备性，提出运用范畴的类推函子和推出来实现知识扩展推理方法，通过联想和推演过程，实现范畴化知识结构的对象和态射补充，并从对象、态射、定型和定型范畴四个层面量化知识片断相似性，提出基于最大公约子范畴的决策知识相似度计量方法，以及知识片断的语义融合度计量方法。

I will endeavour to find you some assistance.

我尽力帮你找人帮忙。

At first I only know bruck is the idol of American younglings, afterwards I returned back to Taiwan ,even in Beijing last year ,I saw her poster everywhere, I was so surprised at her charm.

起初我只晓得布鲁克雷德丝是美国少男少女崇拜的偶像，后来回台湾，甚至去年在北京，居然也四处看见她的海报，才惊讶她的魅力之大。