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A teamwork protocol for multi-agent system 6

6th Pacific Rim International Workshop on Multi-Agents, PRIMA 2003

作者： Sheng, Qiu-Jian Zhao, Zhi-Kun Liu, Shao-Hui Shi, Zhong-Zhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704-28 Beijing 100080 China Graduate School of the Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783540204602

Teamwork is an effective way of cooperative problem solving in dynamic and unpredictable application contexts. The concept of joint intention is the key of teamwork. How various speech acts can be used to form, maintain and dissolve the joint intention is a significant problem need to be investigated. The paper makes an in-depth analysis of the insufficiency of FIPA ACL with which agents to form the required joint intention in teamwork. We distinguish joint-request between delegation-request and extend the FIPA ACL by defining a new joint-request act whose properties are discussed. Based on the defined joint-request, we propose a teamwork protocol, associated with its formal semantic description and demonstrate its application as well. The teamwork protocol presents an interaction pattern that differs from those of existing elementary request protocol, contract-net protocol and auction protocols within FIPA Interaction Protocol Specifications. The proposed protocol can facilitate design of interaction modules in multi-agent teamwork.

关键词： Multi agent systems

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Grunt: a semantic indexing system based on concept space

Grunt: a semantic indexing system based on concept space

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IEEE International Conference on Natural Language processing and Knowledge Engineering (NLP-KE)

作者： Qing He Ziyan Jia Jiayou Li Haijun Zhang Qingyong Li Zhongzhi Shi Institute of Computing Technology Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780379020

How to get text information from this huge information space becomes a more important problem with the rapid growth of the Internet. A semantic indexing system GHUNT based on concept space is proposed to solve the problem. Some new technologies are integrated in GHUNT to obtain good performance. GHUNT is an all-sided solution for information retrieval on the Internet.

关键词： Indexing Space technology Frequency information retrieval Internet Databases Helium laboratories information processing Computers

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Representation and evaluation of hierarchical knowledge in formal ontologies

Representation and evaluation of hierarchical knowledge in f...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Chun-Xia Zhang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780378652

Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the knowledge, especially, the hierarchical knowledge. In this paper, we propose building principles of hierarchical knowledge, and identify different types of relations between categories (same relation, proper including relation, intersectional relation, compatible and parallel relation, disparate relation, contradicted relation, and opposite relation), and presents an approach to evaluate the correctness of hierarchical knowledge based on different types of attributes of categories. We also address an application of this approach to building and evaluating the hierarchical knowledge of archaeological domain.

关键词： Ontologies Engineering management Guidelines Buildings Humans laboratories information processing Computers technology management Knowledge engineering

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Perspectives on cognitive informatics

Perspectives on cognitive informatics

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IEEE International Conference on Cognitive Informatics

作者： Zhongzhi Shi Jun Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)0769519865

From a scientific perspective explaining how the brain thinks is a big goal. Cognitive informatics studies intelligent behavior from a computational point of view in terms of updated research efforts and processes of brain science and neuroscience. Cognitive informatics is the interdisciplinary study of cognition. Cognition includes mental states and processes, such as thinking, reasoning, remembering, language understanding and generation, visual and auditory perception, learning, consciousness, emotions, etc. In this paper we will point out basic research topics of learning, memory, thought, language, and neural computing which are active fields related to cognitive informatics.

关键词： Cognitive informatics Cognition information processing Humans Learning Cognitive science Neurons Neuroscience intelligent sensors Data structures

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Intelligence Chinese Document Semantic Indexing System

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International Journal of information technology & Decision Making 2003年第3期2卷 407-424页

作者： Zhongzhi Shi Qing He Ziyan Jia Jiayou Li Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Zhongguan Cun Kexueyuan Nanlu #6 P.O. Box 2704 Beijing 100080 China

With the rapid growth of the Internet, how to get information from this huge information space becomes an even more important problem. In this paper, An Intelligence Chinese Document Semantic Indexing System; ICDSIS, is proposed. Some new technologies are integrated in ICDSIS to obtain good performance. ICDSIS is composed of four key procedures. A parallel, distributed and configurable Spider is used for information gather; a multi-hierarchy document classification approach combining the information gain initially processes gathered web documents; a swarm intelligence based document clustering method is used for information organization; a concept-based retrieval interface is applied for user interactive retrieval. ICDSIS is an all-sided solution for information retrieval on the Internet.

关键词： information processing document classification document clustering semantic indexing concept space

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Autonomous optical navigation for interplanetary exploration based on information of earth-moon

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Journal of Harbin institute of technology(New Series) 2003年第3期10卷 343-348页

作者：吴伟仁田玉龙黄翔宇 Institute for Pattern Recognition and Artificial Intelligence State Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China Deep Space Exploration Research Center Harbin Institute of Technology Harbin 150001 Chinahe image elements of earth-center and moon-center are obtained by processing the images of earth and moon these image elements in combination with the inertial attitude information and the moon ephemeris are utilized to obtain the probe initial position relative to earth and the Levenberg-Marquardt algorithm is used to determine the accurate probe position relative to earth and the probe orbit relative to earth is estimated by using the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simulation.

The image elements of earth-center and moon-center are obtained by processing the images of earthand moon, these image elements in combination with the inertial attitude information and the moon ephemerisare utilized to obtain the probe initial position relative to earth, and the Levenberg-Marquardt algorithm is usedto determine the accurate probe position relative to earth, and the probe orbit relative to earth is estimated by u-sing the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simu-lation.

关键词： autonomous optical navigation interplanetary exploration Levenberg-Marquardt algorithm

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Designing a Top—Level Ontology of Human Beings：A Multi—Perspective Approach

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Journal of Computer Science & technology 2002年第5期17卷 636-656页

作者：田雯顾芳曹存根 Key Laboratory of Intelligent Information Processing Institute of Computing Technology The Chinese Academy of Sciences Beijing 100080 P.R. China

Knowledge about human beings is an integral part of any intelligent agent ofconsiderable significance. Delimiting, modeling and acquiring such knowledge are the centraltopics of this paper. Because of the tremendous complexity in knowledge of human beings, weintroduce a top-level ontology of human beings from the perspectives of psychology, sociology,physiology and pathology. This ontology is not only an explicit conceptualization of humanbeings, but also an efficient way of acquiring and organizing relevant knowledge.

关键词： knowledge of human beings ontology top-level ontology of human beings psychology sociology physiology pathology knowledge acquisition

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Progress in the Development of National Knowledge Infrastructure

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Journal of Computer Science & technology 2002年第5期17卷 523-534页

作者：曹存根丰强泽高颖顾芳司晋新眭跃飞田雯王海涛王丽丽曾庆田张春霞郑宇飞周肖彬 Knowledge Acquisition and Sharing Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology The Chinese Academy of Sciences Beijing 100080 P.R. China

This paper presents the recent process in a long-term research project, calledNational Knowledge Infrastructure (or NKI). Initiated in the early 2000, the project aims todevelop a multi-domain shareable knowledge base for knowledge-intensive applications. Todevelop NKI, we have used domain-specific ontologies as a solid basis, and have built morethan 600 ontologies. Using these ontologies and our knowledge acquisition methods, we haveextracted about 1.1 millions of domain assertions. For users to access our NKI knowledge,we have developed a uniform multi-modal human-knowledge interface. We have also imple-mented a knowledge application programming interface for various applications to share theNKI knowledge.

关键词： national knowledge infrastructure knowledge acquisition domain-specificontology human-knowledge interface knowledge application programming interface

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Advances in simulated modeling of vibration systems based on computational intelligence

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自然科学进展(英文版) 2002年第12期12卷 881-886页

作者： LIANG Yanchun LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong Zhou Chunguang College of Computer Science and Technology Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sci Institute of High Performance Computing Singapore 117528 Department of Mechanical Engineering National University of Singapore Singapore 119260 Singapore College of Computer Science and Technology Jilin University Changchun 130012 China

Computational intelligence is the computational simulation of the bio-intelligence, which includes artificial neural networks, fuzzy systems and evolutionary computations. This article summarizes the state of the art in the field of simulated modeling of vibration systems using methods of computational intelligence, based on some relevant subjects and the authors' own research work. First, contributions to the applications of computational intelligence to the identification of nonlinear characteristics of packaging are reviewed. Subsequently, applications of the newly developed training algorithms for feedforward neural networks to the identification of restoring forces in multi-degree-of-freedom nonlinear systems are discussed. Finally, the neural-network-based method of model reduction for the dynamic simulation of microelectromechanical systems (MEMS) using generalized Hebbian algorithm (GHA) and robust GHA is outlined. The prospects of the simulated modeling of vibration systems using techniques of computational intelligence are also indicated.

关键词： computational intelligence artificial neural network fuzzy system evolutionary computation vibration system

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A New Texture Spectrum Descriptor and its Application in Image Semantic Classification 17

A New Texture Spectrum Descriptor and its Application in Ima...

引用

17th International Conference on Computers and Their Applications, CATA 2002

作者： Wan, Hualin Chowdhury, Morshed U. Hu, Hong Shi, Zhongzhi Lab of Intelligent Information Processing Institute of Computing Technology CAS China School of Computing and Mathematics Deakin University- Melbourne Campus 221 Burwood Highway BurwoodVIC3125 Australia

ISBN: (纸本)9781618395481

There exists an enormous gap between low-level visual features and high-level semantic information and accuracy of content-based image classification. Retrieval depends largely on the description of low-level visual features. Taking these points into consideration, we propose a new method to describe image texture features. Furthermore, incorporating colour and the texture feature spectrum, images are grouped into semantic classes using SVM. Experiment results show our texture spectrum method is more discriminal. © 17th International Conference on Computers and Their Applications 2002, CATA 2002. All rights reserved.

关键词： Textures

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