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传统人工智能
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  traditional artificial intelligence
     Multi-agents system is a system organization style which is combination of the traditional artificial intelligence problem solving pattern and distributed computing technology.
     多Agent系统是传统人工智能问题求解模式与分布式计算技术日益融合而形成的一种系统组织形式。
短句来源
     Multi-agent system is a system organization style which is combination of the traditional artificial intelligence problem solving pattern and distributed computing technology.
     多Agent系统是传统人工智能问题求解模式与分布式计算技术日益融合而形成的一种系统组织形式。
短句来源
     Basing on the research of traditional artificial intelligence and artificial neural net, this paper studied the methods and technology of cognition simulation from several aspects and suggested the important function of compositive integrated technology and fuzzy technology in developing massive integrated intellective system.
     本文基于传统人工智能和人工神经网络的研究,从多角度透视认知模拟的方法和技术,提出了综 合集成技术和模糊技术在开发大规模集成智能系统中的重要作用。
短句来源
     The static, strict "physical symbol system" hypothesis made traditional artificial intelligence get into a difficult position for a time. The characteristics of flexibility and uncertanity of soft computing approach provided new ideas for the development of artificial intelligence, as a new building method of Computational Intelligence, soft computing is of great significance for the development of artificial intelligence.
     静态的、严格的“物理符号系统”假设曾使传统人工智能一度陷人困境,软计算方法处理问题的灵活性和不确定性为人工智能的发展提供了新思路,作为一种创建计算智能的新颖方法,软计算对于人工智能的发展具有重要的意义。
短句来源
  traditional ai
     With the concept of symbol logic inference introduced into the research of Neural Network, an Intelligent Neural Network Programming Language called NIPL has been presented and thus made the unification of the theory of Neural Network and the theory of traditional AI possible.
     将符号逻辑融合于神经网络之中,给出了智能神经网络程序设计语言NIPL的详细定义及其实现技术,使神经网络理论与传统人工智能理论的结合成为可能.
短句来源
     This proposed method used the advantage that the decision tree possesses the knowledge representation and acquisition,and carried out the knowledge representation(KR)and knowledge acquisition(KA)simultaneously,overcome the shortage of the KR and KA separated in traditional AI.
     该方法充分利用决策树把知识表示与获取融于一身的优点 ,使知识表示与知识获取同时进行 ,克服了传统人工智能系统中知识表示与知识获取分离的缺点。
短句来源
     Compared with the traditional AI method, the evolution and current status of behavior-based AI simulation technique are surveyed.
     通过与传统人工智能的比较,介绍了基于行为的智能模拟技术的发展及现状,并详细评述了行为主义人工智能的研究方向以及在研究过程中涉及到的前沿技术.
短句来源
  “传统人工智能”译为未确定词的双语例句
     It put forward the applied model of acquisition and representation of knowledge and the complicated fault diagnosis algorithm based on decision tree.
     该算法具有充分利用决策树把知识表示与获取融于一身的优点,使知识表示与知识获取同时进行,克服了传统人工智能系统中知识表示与知识获取分离的缺点。
短句来源
     With the emerging of grid computing technology,especially the OGSA's proposition,it becomes an important direction of networking intelligence that the composition of grid technology and traditional artificial intelligent technology.
     网格技术出现以后,特别OGSA体系结构的提出,使得网格技术与传统人工智能技术的结合成为面向网络智能的重要方向。
短句来源
     In this paper, the development actuality of intelligent analogue technique in “perception behavior” mode has been reviewed in detail, and the difference between traditional method of artificial intelligence and that of “perception behavior” has been introduced. Also, principles have been proposed to construct an intelligent system based on “perception behavior” mode.
     本文详细评述“感知 -行为”方法的智能模拟技术发展的现状 ,介绍了“感知 -行为”模式与传统人工智能方法的区别 ,并给出了“感知 -行为”方法构造智能系统的设计原则 .
短句来源
     As an incremental learning system, Case-based reasoning(CBR)makes the knowledge and rule obtainment bottleneck easy by learning from case, thus it has increasingly become a hotspot in the area of artificial intelligent.
     基于事例的推理(CBR)作为一种增量式的学习方法,规避了传统人工智能在知识获取上的瓶颈问题,逐渐引起人工智能领域研究者的关注。
短句来源
     Its main characteristic is that can solve many hard problems without making complicated mathematical model.
     它的最大特点就是不需要建立问题本身的精确模型,非常适合于处理那些因为难以建立有效的形式化模型而用传统人工智能方法难以解决,甚至无法解决的问题。
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  traditional artificial intelligence
For now, while traditional artificial intelligence research focuses on what an agent knows, we have shown that who an agent knows is also important.
      
Traditional artificial intelligence attempts to model the world, and then reason about it using complex control strategies.
      
Traditional artificial intelligence tools are very helpful in assessing the quantitative aspects of the decision.
      
The concept of recipe in SharedPlans is analogous to the concept of plan in traditional artificial intelligence.
      
  traditional ai
This is an alternative model to the traditional AI approaches, focusing on the philosophy of active symbols.
      
This paper shows that treating program understanding as plan recognition is too simplistic and that traditional AI search algorithms for plan recognition are not suitable, as is, for program understanding.
      
A traditional AI-centric viewpoint would apply machine learning of some variety upon the raw data, to directly find and report patterns.
      
A hallmark of recent AI conference papers, journal papers and theses has been the incorporation of ideas from outside traditional AI.
      
Another way of modeling the multi-agent coordination problem is through traditional AI methods.
      
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Starting with the discrimination between artificial neural system and artificial in- telligence and the comparison between artificial neural system and real neural system,the au- thors make a review of research and development of artificial neural system.

本文介绍人工神经系统与传统人工智能的区别,人工神经系统与实际神经系统的比较,以及人工神经系统的研制与进展.

Intelligent control is aimed to solve the task--oriented (goal seeking) controlproblems in complex environments which are unstructural, uncertain and have stronginteractions with the plants. Traditional Al approach with emphasis on symbolic processing and logic reasoning has been confronted with serious difficulties in actionoriented tasks, however, studying of new techniques for modelling and recognitionof complex environments by mathematically precise ways and development of designtechniques for imprecisely...

Intelligent control is aimed to solve the task--oriented (goal seeking) controlproblems in complex environments which are unstructural, uncertain and have stronginteractions with the plants. Traditional Al approach with emphasis on symbolic processing and logic reasoning has been confronted with serious difficulties in actionoriented tasks, however, studying of new techniques for modelling and recognitionof complex environments by mathematically precise ways and development of designtechniques for imprecisely defined environments and tasks based on ideas in the newly emerging schools of Al may be integrated to provide new schemes and architectures for intelligent controls. In this paper, the authors anticipate the possibilitythat significant breakthrough would occur when the research following the top--downlines intersects with those following the bottom-up lines.

智能控制是在常规控制理论与技术基础上的进一步发展与提高,目的是在非结构化、不确定性与控制对象有强相互作用的环境中实现过程任务(追求目标)的闭环自动控制。虽然传统人工智能方法应用于实际控制问题有很大困难,但是把对复杂环境建模的严格数学方法研究同人工智能中新兴学派思想的研究紧密结合起来,有可能导致新的智能控制体系结构的产生和发展。这种研究将会在"自上而下"和"自下而上"两个方向的交汇处取得重大突破。

This paper introduces neural network technique based on parallel calculation and uses it to build an expert system of process design successfully. The system can overcome the shortcomings of traditional artificial intelligence expert system. BP (Back Propagation) model of neural network is regarded as the rule memory. Knowledge base and inference strategy of BP model are combined into one. Many BP models form the knowledge base of system. The forward inference of data driving realizes the final decision of process...

This paper introduces neural network technique based on parallel calculation and uses it to build an expert system of process design successfully. The system can overcome the shortcomings of traditional artificial intelligence expert system. BP (Back Propagation) model of neural network is regarded as the rule memory. Knowledge base and inference strategy of BP model are combined into one. Many BP models form the knowledge base of system. The forward inference of data driving realizes the final decision of process route.

针对传统人工智能专家系统的缺点,引入了以并行计算为主的神经网络技术,并成功地运用它来建造工艺设计专家系统。神经网络中的BP(BackPropagation)模型用作规则记忆器,每一模型中,知识库和推理机是合二为一的,许多这类模型构成系统的知识库。工艺路线的最后决策通过数据驱动的正向推理来实现

 
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