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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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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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KGCL: A knowledge-grid-based cooperative learning environment 1

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1st International Conference on Web-Based Learning, ICWL 2002

作者： Zhuge, Hai Li, Yanyan Bi, Jia Cheung, To-Yat Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China Department of Computer Science City University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)3540440410

Knowledge Grid is a platform that enables uniform and effective knowledge sharing and management across the Internet. Based on this platform, this paper proposes a cooperative learning environment KGCL. It supports the knowledge-level cooperation between human and computer, and enables the enrichment of not only the resources in the Knowledge Grid but also the knowledge of users by means of knowledge refinement, knowledge reuse and drawing together online participants. Currently, the prototype of the KGCL has been implemented and is available for use online. Experiments show that the environment can promote the effectiveness of teamwork. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Computer aided instruction

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The classification method based on hyper surface

The classification method based on hyper surface

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International Joint Conference on Neural Networks (IJCNN)

作者： Qing He Zhong-Zhi Shi Li-An Ren The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate College of University of Science and Technology of China Beijing China

The main idea of SVM, i.e. Support Vector Machine, is mapping nonlinear separable data into higher dimension linear space where the data can be separated by hyper plane. Based on Jordan Curve Theorem, a general classification method HSC, Classification based on Hyper Surface, is put forward in this paper. The separating hyper surface is directly made to classify large database. The data are classified according to whether the intersecting number is odd or even. It is a novel approach which has no need of either mapping from lower dimension space to higher dimension space or considering kernel function. It can directly solve the nonlinear classification problem. The experiments show that the new method can efficiently and accurately classify large data.

关键词： Support vector machines Support vector machine classification Machine learning Machine learning algorithms Space technology Databases Artificial intelligence Neural networks Helium Laboratories

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