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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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HuaYu: A word-segmented and part-of-speech tagged Chinese corpus 2

HuaYu: A word-segmented and part-of-speech tagged Chinese co...

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2nd International Conference on Language Resources and Evaluation, LREC 2000

作者： Maosong, Sun Honglin, Sun Changning, Huang Pu, Zhang Hongbing, Xing Qiang, Zhou State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing100084 China Language Information Processing Institute Beijing Language and Culture University Beijing100084 China

As the outcome of a 3-year joint effort of Department of Computer Science, Tsinghua University and Language information processing institute, Beijing Language and Culture University, Beijing, China, a word-segmented and part-of-speech tagged Chinese corpus with size of 2 million Chinese characters, named HuaYu, has been established. This paper firstly introduces some basics about HuaYu in brief, as its genre distribution, fundamental considerations in designing it, word segmentation and part-of-speech tagging standards. Then the complete list of tag set used in HuaYu is given, along with typical examples for each tag accordingly. Several pieces of annotated texts in each genre are also included at last for reader's reference.

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Gravel Image Segmentation in Noisy Background Based on Partial Entropy Method

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中国地质大学学报(英文版) 2000年第1期11卷 92-94页

作者： Wang Guangjun Tian Jinwen Chen Zhenyu Liu Jian Wu Guoping State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology WuHan 430074 Faculty of Information Engineering China University of Geosciences Wuhan 430074

Because of wide variation in gray levels and particle dimensions and the presence of many small gravel objects in the background, as well as corrupting the image by noise, it is difficult o segment gravel objects. In this paper, we develop a partial entropy method and succeed to realize gravel objects segmentation. We give entropy principles and fur calculation methods. Moreover, we use minimum entropy error automaticly to select a threshold to segment image. We introduce the filter method using mathematical morphology. The segment experiments are performed by using different window dimensions for a group of gravel image and demonstrates that this method has high segmentation rate and low noise sensitivity.

关键词： partial entropy segmentation mathematical morphology gravel threshold filter

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Deep Stable Learning for Cross-lingual Dependency Parsing

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ACM Transactions on Asian and Low-Resource Language information processing 1000年

作者： Haijiang Liu Chen Qiu Qiyuan Li Maofu Liu Li Wang Jinguang Gu Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China Institute of Scientific and Technical Information of China Beijing China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing China

The Cross-lingual Dependency Parsing (XDP) task poses a significant challenge due to the differences in dependency structures between training and testing languages, known as the out-of-distribution (OOD) problem. Our research delved into this issue in the XDP dataset by selecting 43 languages from 22 language families. We found that the primary factor of the OOD problem is the unbalanced length distribution among languages. To address the impact of the OOD problem, we propose deep stable learning for Cross-lingual Dependency Parsing (SL-XDP), which utilizes deep stable learning with a feature fusion module. In detail, we implemented five feature fusion operations for generating comprehensive representations with dependency relations and the deep stable learning algorithm to decorrelate dependency structures with sequence length. Our experiments on Universal Dependencies have demonstrated that SL-XDP can lessen the impact of the OOD problem and improve the model generalization among 21 languages, with a maximum improvement of 18%.

关键词： Cross-lingual Dependency Parsing Deep Stable Learning Out-of-Distribution Problem

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GAHE: Geometry-Aware Embedding for Hyper-Relational Knowledge Graph Representation

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ACM Transactions on Multimedia computing, Communications, and Applications 1000年

作者： Zongsheng Cao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang State Key Laboratory of Information Security SKLOIS) Institute of Information Engineering Chinese Academy of Sciences China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China School of Computer Science and Technology University of Chinese Academy of Sciences China Security Department of Alibaba Group China School of Cyber Science and Technology Shenzhen Campus Sun Yat-sen University China

Knowledge graphs have proven highly effective for learning representations of entities and relations, with hyper-relational knowledge graphs (HKGs) gaining increased attention due to their enhanced representation capabilities. Each fact in an HKG consists of a main triple supplemented by attribute-value qualifiers that provide additional contextual information. Due to the complexity of hyper-relations, HKGs typically contain complex geometric structures, such as hierarchical, ring, and chain structures, often mixed together. However, previous work mainly embeds HKGs into Euclidean space, limiting their ability to capture these complex geometric structures simultaneously. To address this challenge, we propose a novel model called Geometry Aware Hyper-relational Embedding (GAHE). Specifically, GAHE adopts a multi-curvature geometry-aware approach by modeling HKGs in Euclidean space (zero curvature), hyperbolic space (negative curvature), and hyperspherical space (positive curvature) in a unified framework. In this way, it can integrate space-invariant and space-specific features to accurately capture the diverse structures in HKGs. In addition, GAHE introduces a module termed hyper-relational subspace learning, which allocates multiple sub-relations for each hyper-relation. It enables the exploitation of abundant latent semantic interactions and facilitates the exploration of fine-grained semantics between attribute-value pairs and hyper-relations across multiple subspaces. Furthermore, we provide theoretical guarantees that GAHE is fully expressive and capable of modeling a wide range of semantic patterns for hyper-relations. Empirical evaluations demonstrate that GAHE achieves state-of-the-art results on both hyper-relational and binary-relational benchmarks.

关键词： Knowledge Graph Hyper-relational Learning Multicurvature Spaces Geometry Aware

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