1) case-based reasoning
基于范例的推理
1.
The traditional ContractNet protocol is extended, including using case-based reasoning to reduce the scope of inviting bidding, and introducing assistant decision matrix to improve the alliance decision, so as to reduce the communication load during the task negotiation process.
从基于范例的推理缩小任务招标范围、引入辅助决策矩阵改善联盟决策两个方面对传统的合同网协议进行了改进,以减少任务协商过程中的通信开销,接着引入了联盟生命值、违约金等概念,在此基础上,实现了一种允许动态联盟的多机器人合作追捕算法。
2.
Research works are taken as follows:1) Aimed to the problems discussed in this thesis, the theory devolepments of knowledge integration, semantic web, ontology and Case-based Reasoning (CBR) are reviewed.
本文的主要工作如下:1)简要概括了知识集成、语义Web、本体和基于范例的推理(CBR)等相关理论基础方面的发展现状。
3.
Based on summarizing the respective development and status of ontology and case-based reasoning(CBR),and analyzing the relevant characteristics and facing difficulties of them,found that ontology and CBR could benefit from each other in integrating environment,and that was why ontology-based CBR was becoming the hot topic.
在总结本体和基于范例的推理(CBR)各自的发展现状,分析它们各自的特点、面临的困难与不足的基础上,从理论上分析了基于本体的CBR系统正在逐渐成为研究热点的原因——发现本体与CBR相结合必然产生双赢的局面;进而对国内外基于本体的CBR研究进行综述,总结了存在的不足和面临的主要困难,并提出了一个初步的解决策略和今后的发展方向。
2) CBR
基于范例的推理
1.
CBR has merits of simplifing knowledge acquisition, high solution efficiency and knowledge accumulating.
基于范例的推理具有简化知识获取过程、求解效率高、进行知识积累等特点。
3) Group case-based reasoning
基于群范例的推理
4) case-based reasoning
基于范例推理
1.
To utilize characteristic of both case-based reasoning(CBR) and automatic case elicitation(ACE),the paper put forward a new knowledge acquisition model.
利用基于范例推理(CBR,case-based reasoning)和自动案例启发(ACE,automatic case elicitation)二者的特点,提出了一种新的知识获取模型。
2.
this paper discusses some of pivotal techniques in data mining and Case-based reasoning and decision support theory,proposes the relationship among Case-based reasoning,analogue learning and rule-based reasoning,then the integration of data mining and case-based reasoning and decision theory are intensively discussed.
介绍了数据挖掘中的一些关键技术、人工智能基于范例推理、决策支持的主要理论及其发展,提出了范例推理、类比学习、规则推理之间的联系,详细探讨了数据挖掘技术、基于范例推理和决策支持理论集成的问题,最后对上述技术在预测领域的综合应用前景作了探讨。
3.
The thought and design method of the case-based reasoning theory in the field of artificial intelligence have been introduced; by combining the characteristics of the construction technologies of prospecting drifting, the successful prospecting drifting cases finished by the predecessors shall be made into a case base a.
根据地质勘探坑道施工技术的特点,提出了使用基于范例推理思想来开发地质勘探范例库的设想,并简要介绍了基于范例推理思想及其设计方法,并且结合勘探平巷掘进施工技术的特点,将前人所做的成功的勘探平巷掘进工程实例利用CBR的基本原理做成范例库,嵌入到勘探坑道掘进施工技术辅助设计软件,以进一步开发软件的智能化设计功能。
6) Case-based Reasoning
基于实例的推理
1.
Based on the geometric feature of plastic product, aiming at two primary parts of ejection design that are ejector type selection and ejector location, this paper used rule-based reasoning to obtain fitted ejector as well as case-based reasoning to decide ejector location and ejector quantity.
在此基础上 ,运用产生式规则推理获得适合该塑件的最优类型顶杆 ,运用基于实例的推理确定顶出位置和所需顶杆数量 ;对实例的框架表示法和基于模糊相似度的实例相似性度量等进行了研究 ,并给出了相应的算例 。
2.
Aiming to the characteristics of the domain knowledge of motorcycle,the(object-oriented) knowledge representation and the case-based reasoning are used to solve the key technologies for both design and practice of the intelligent system.
针对摩托车领域知识的特点,运用面向对象知识表示模式及基于实例的推理机制解决了系统设计及实施的关键技术问题。
3.
Case-based reasoning (CBR) is a general paradigm for problem solving based on the recall and reuse of specific exper.
基于实例的推理技术利用过去的设计以及设计经验来求解新问题。
补充资料：演绎推理(见推理)
演绎推理(见推理)
deductive inference
住理。yanyl tullj演绎推理(deduetive infer。二ee)见
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条