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International Conference on Computer Networks and Mobile computing (ICCNMC)

作者： Zhong Shi-Qiang Shi Zhong-Zhi Tian Qi-Jia Intelligent Information Process Laboratory Institute of Computing Technology Chinese Academy and Sciences Beijing China

Agent naming and localization is the key technology in mobile agents. How it is implemented affects the performance of the whole agent system deeply. The paper proposes a method called agent shadow tracing to implement the agent naming and localization, after analyzing three approaches in agent naming and localization. This method treats agents as some source of the host that generates it, and assigns a shadow to the agent so that other agents and programs can communicate with it through the shadow when the agent roams around the network. The paper also discusses the security of AST and its advantages compared with other methods. This method avoids some known disadvantages in existing methods.

关键词： Mobile agents intelligent agent Laboratories Delay Computer crashes

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Text Document Clustering and the Space of Concept on Text Document Automatically Generated

Text Document Clustering and the Space of Concept on Text Do...

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2001 International Conferences on Info-tech and Info-net

作者： Fu Weipeng Wu Bin He Qing Shi Zhongzhi Graduate school of University of Science and Technology of China The Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences

A method of automatically generated to the space of the concept on text document is ***, cluster the text document through SOM and gain the concept of text for mark the classification,and then using the fuzzy clustering to automatically generate and sum up the concept space for managing the text *** result can be used to cluster the Chinese document and generates an index of the cluster *** is an unsupervised-learning neural-network method that produces a mapping from text space into concept *** experiments and test results are shown that the space of concept does well in arranging the classification of the text and is convenient to information retrieval.

关键词： concept space text index Self-Organizing Maps

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Based-CR Knowledge Interconnection in National Knowledge Infrastructure

Based-CR Knowledge Interconnection in National Knowledge Inf...

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2001 International Conferences on Info-tech and Info-net

作者： Lei Yuxia Cao Cungen Sui Yuefei Institute of Software Chinese Academy of Sciences Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science

Knowledge processing is an important research field in AI.A lot of practices have proved that it is necessary for computer to really realize intelligence to has enough knowledge(i.e. knowledge base) and interconnections among ***,Johnson has advanced a famous three stages knowledge acquisition model,and means that knowledge is not isolated but mutally *** sufficiently show that it is necessary and feasible to research knowledge interconnection in knowledge *** the paper,we firstly introduced CR(concept-relation)-model and hierarchical concept graph(HCG),and then deeply research knowledge interconnection in National Knowledge Infrastructure(NKI).

关键词： CR-model knowledge interconnection formal semantic relations NKI hierarchical concept graph

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Commitment Mechanism in Agent Organization

Commitment Mechanism in Agent Organization

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2001 International Conferences on Info-tech and Info-net

作者： Zhang Wei Xu Jinhui Shi Chunyi Dept.of Computer Science and Technology Tsinghua University Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences

As a novel system description and problem solving method,agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent *** research about agent organization are mostly being undertaken in agent organization model,organization structure,organization rules, organization formation and evolution,so it is necessary to extend the research to analyze mental states and their *** this paper,the mental states of commitments in agent organization are defined and analyzed including internal commitment,social commitment,Group commitment and organization *** semantics and properties of different commitments are given so that advances the works associated with agent organization.

关键词： agent organization mental states commitment

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Based-CR knowledge interconnection in National Knowledge Infrastructure

Based-CR knowledge interconnection in National Knowledge Inf...

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International Conferences on Info-tech and Info-net (ICII)

作者： Lei Yuxia Cao Cungen Sui Yuefei Chinese Academy and Sciences Russia Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Knowledge processing is an important research field in AI. A lot of research practice has proved that it is necessary for a computer to really realize intelligence to have enough knowledge (i.e. knowledge base) and interconnections among knowledge. Otherwise, Johnson has advanced a famous three stage knowledge acquisition model, where knowledge is not isolated but mutually relevant. These sufficiently show that it is necessary and feasible to research knowledge interconnection in knowledge processing. We firstly introduce the CR (concept-relation) model and hierarchical concept graph (HCG), and then research knowledge interconnection in the National Knowledge Infrastructure (NKI).

关键词： Artificial intelligence LAN interconnection Knowledge acquisition Dictionaries Natural languages Logic Laboratories Computers information processing Knowledge based systems

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Algorithms of Integrated Student Modeling in Online Virtual Educational Community

Algorithms of Integrated Student Modeling in Online Virtual ...

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2001 International Conferences on Info-tech and Info-net

作者： Yonghong Tian Tiejun Huang Wen Gao Digital Media Lab Institute of Computing TechnologyChinese Academy of Sciences Laboratory of Intelligent Information Processing Chinese Academy of Sciences

The paper focuses on how to construct student models in the online virtual educational *** firstly analyze social interaction between students in the community,and present some algorithms to model students'(personal and shared) needs, preferences or knowledge structures in interaction ***,the paper proposes an integrated student model combined with student modeling in information services and task processes,and emphasizes that it builds up a foundation to personalize information services and customize online educational programs.

关键词： Virtual community interaction activities integrated student modeling personalized study assistants

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Algorithms of integrated student modeling in online virtual educational community

Algorithms of integrated student modeling in online virtual ...

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International Conferences on Info-tech and Info-net (ICII)

作者： Yonghong Tian Tiejun Huang Wen Gao Digital Media Laboratory Institute of Computing Technology Chinese Academy and Sciences Beijing China Laboratory of Intelligent Information Processing Chinese Academy and Sciences Beijing China

The paper focuses on how to construct student models in the online virtual educational community. First, we analyze social interaction between students in the community, and present some algorithms to model students' (personal and shared) needs, preferences or knowledge structures in interaction activities. Then, the paper proposes an integrated student model combined with student modeling in information services and task processes, and emphasizes that it builds up a foundation to personalize information services and customize online educational programs.

关键词： Educational programs Space technology Computers Laboratories information processing Algorithm design and analysis information technology intelligent networks Educational technology Virtual groups

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Commitment mechanism in agent organization

Commitment mechanism in agent organization

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International Conferences on Info-tech and Info-net (ICII)

作者： Zhang Wei Xu Jinhui Shi Chunyi Department of Computer Science and Technology Tsinghua University Beijing China Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

As a novel system description and problem solving method, agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent interactions. Current research about agent organization are mostly being undertaken in an agent organization model, organization structure, organization rules, organization formation and evolution, so it is necessary to extend the research to analyze mental states and their relations. In the paper, the mental states of commitments in agent organization are defined and analyzed including internal commitment, social commitment, group commitment and organization commitment. The semantics and properties of different commitments are given so advancing the works associated with agent organization.

关键词： Problem-solving Bridges Computer science Laboratories intelligent agent information processing

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Configurable mobile agent and its fault-tolerance mechanism

Configurable mobile agent and its fault-tolerance mechanism

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International Conference on Computer Networks and Mobile computing (ICCNMC)

作者： Chenggang Wu Shaohui Liu Bo Wang Zhongzhi Shi Hua Gu Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Beijing No.1 Satellite Earth Station Beijing China

The idea of performing client-server computing by transmission of executable programs between clients and servers has become highly popular among researchers and developers who are engaged in intelligent network services. computing based on mobile agents is an important aspect of this idea. This paper focuses on researching the migration process of agents. A model based on modules is devised for constructing agents. A concurrent schedule method is presented, with which the agent migration can be easily implemented. Most of the unnecessary transmission of codes and data can be avoided by module reuse. Consequently, the executing period of mobile agents is reduced and their efficiency is improved. Additionally, a fault-tolerance mechanism is designed in the system to ensure that the agent can work even when some faults occur in the network or in the host.

关键词： Mobile agents Fault tolerance Computer networks Network servers intelligent networks Laboratories information processing Satellite ground stations Processor scheduling Fault tolerant systems

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Genetic learner: Discretization and fuzzification of numerical attributes

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intelligent Data Analysis 2000年第5期4卷 445-460页

作者： Bruha, Ivan Kralik, Pavel Berka, Petr McMaster University Department Computing and Software Hamilton Ont. L8S 4L7 Canada Technical University of Brno Department Automation and Information Technology echnicka 2 Brno CZ-61669 Czech Republic Prague University of Economics Laboratory of Intelligent Systems Prague CZ-13067 Czech Republic

Machine learning (ML) is a useful and productive component of data mining (DM). Given a large database, a learning algorithm induces a description of concepts (classes) which are immersed in a given problem area. The induction itself consists in searching usually a huge space of possible concept descriptions. There exist several paradigms for controlling this search. One of the promising and efficient paradigms are {\it genetic algorithms} (GAs). There have been done many research projects of incorporating genetic algorithms into the field of machine learning. This paper describes an efficient application of a GA in the attribute-based rule-inducing learning algorithm. Actually, a domain-independent GA has been integrated into the covering learning algorithm CN4, a large extension of the well-known algorithm CN2;the induction procedure of CN4 (beam search methodology) has been removed and the GA has been implanted into this shell. Genetic algorithms are capable of processing symbolic attributes in a simple, natural manner. The processing of numerical (continuous) attributes by genetic algorithms is not so straightforward. One feasible strategy is to discretize numerical attributes before a generic algorithm is called. There exist quite a few discretization preprocessors in data mining and machine learning. This paper describes a newer preprocessor for discretization (categorization) of numerical attributes. The genuine discretization procedures generate sharp bounds (thresholds) between intervals. It may result in capturing training objects from various classes (concepts) into one interval that will not be 'pure';this in particular happens near the interval borders. One feasible way how to eliminate such an impurity around the interval borders is to fuzzify them. The paper first introduces the methodology of our new learning algorithm, the genetic learner. Then the discretization/fuzzification preprocessor is presented. Finally, the paper compares the entire system

关键词： Data mining

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