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Titlebook: International Symposium on Distributed Computing and Artificial Intelligence; Ajith Abraham,Juan M. Corchado,Juan F. Paz Santana Conferenc

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发表于 2025-3-21 19:17:13 | 显示全部楼层 |阅读模式
书目名称International Symposium on Distributed Computing and Artificial Intelligence
编辑Ajith Abraham,Juan M. Corchado,Juan F. Paz Santana
视频video
概述Recent research in Distributed Computing and Artificial Intelligence.Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence at the University of Salamanca (Spa
丛书名称Advances in Intelligent and Soft Computing
图书封面Titlebook: International Symposium on Distributed Computing and Artificial Intelligence;  Ajith Abraham,Juan M. Corchado,Juan F. Paz Santana Conferenc
描述.The International Symposium on Distributed Computing and Artificial Intelligence 2011 (DCAI 2011) is a stimulating and productive forum where the scientific community can work towards future cooperation on Distributed Computing and Artificial Intelligence areas. This conference is the forum in which to present application of innovative techniques to complex problems. Artificial intelligence is changing our society. Its application in distributed environments, such as internet, electronic commerce, environment monitoring, mobile communications, wireless devices, distributed computing, to cite some,  is continuously increasing, becoming an element of high added value with social and economic potential, both industry, life quality and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in universities, companies. The exchange of ideas between scientists and technicians from both academic and industry is essential to facilitate the development of systems that meet the demands of today‘s society. .This edition of DCAI brings together past experience, current work and promising future trends associated with distrib
出版日期Conference proceedings 2011
关键词Artificial Intelligence; Computational Intelligence; Distributed Computing
版次1
doihttps://doi.org/10.1007/978-3-642-19934-9
isbn_softcover978-3-642-19933-2
isbn_ebook978-3-642-19934-9Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusterstering data distributed across different data sites. DFCM makes use of a new, distributed version of the Xie-Beni validity criterion. Illustrative experiments show that for sites having data from different populations the developed consensus-based algorithm can provide better results than DFCM.
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Multiple Mobile Agents for Dependable Systemsordinations between mobile agents, e.g., master-slave and redundancy, which are useful for implementing systems. This paper also describes a prototype implementation of the framework with mobile agent technology and several applications of it.
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MISIA: Middleware Infrastructure to Simulate Intelligent Agentstems and provides advances abilities for visualization. The proposed middleware infrastructure makes it possible to visualize the emergent agent behaviour and the entity agent. It also allows visualization of the interaction between the agent and the environment.
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Secure Communication of Local States in Interpreted Systemsroblem to keep your local state (hand of cards) a secret; we provide a large class of card deals for which exchange of secrets is possible; and we give an example for which there is no protocol of less than three announcements.
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1867-5662 Artificial Intelligence at the University of Salamanca (Spa.The International Symposium on Distributed Computing and Artificial Intelligence 2011 (DCAI 2011) is a stimulating and productive forum where the scientific community can work towards future cooperation on Distributed Computing and Artific
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A Multi-agent Model with Dynamic Leadership for Fault Diagnosis in Chemical Plantsassification process. The proposed model is flexible, modular, decentralized, and portable. Our experimental results show that even using simple detection and diagnosis methods, the model can achieve comparable results to those from sophisticated centralized approaches.
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