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Computational Intelligence for Agent-based Systems (Studies in Computational Intelligence, 72) 🔍
Giovanni Acampora, Professor Vincenzo Loia (auth.), Professor Raymond S. T. Lee, Professor Vincenzo Loia (eds.) Springer-Verlag Berlin Heidelberg, Studies in Computational Intelligence, Studies in Computational Intelligence 72, 1, 2007
英语 [en] · PDF · 9.2MB · 2007 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
In these last years the digital technology explosion has spawned so many new lifestyle models that the boundaries between "real" and "digital" are fiercely debated. This scenario has deeply changed the viewpoint about computer applications: computers become smaller, cheapest and hugely distributed in wired or unwired networks, applications become so flexible and intelligent as to tailor its communication facilities in order to increase the usability of the system. Such data-intensive, unstructured spaces featured by minimal or no centralized control flow, present a challenge for traditional methods of analysis, design and integration of advanced, distributed and intelligent computer systems. Within this challenge, an important role is played by two important research areas : Fuzzy Technology, thanks to its ability to exploit the tolerance for imprecision to achieve tractability and Agent Technology, thanks to its nature to employ agent-wise communities to carry out complex goals by means of smart interaction, cooperation, and pro-activeness.
Computational Intelligence inside Agents is a novel and extremely helpful approach to support the designer of smart applications that treat unknown or ill-defined situations so to better handle knowledge representation and reasoning under these assumptions. We hope this volume represents a new step on intelligent system management roadmap.
备用文件名
lgrsnf/A:\compressed\10.1007%2F978-3-540-73177-1.pdf
备用文件名
nexusstc/Computational Intelligence for Agent-based Systems/7e902172e53a7e52de8196c1c6494ca9.pdf
备用文件名
scihub/10.1007/978-3-540-73177-1.pdf
备用文件名
zlib/Computers/Computer Science/Giovanni Acampora, Professor Vincenzo Loia (auth.), Professor Raymond S. T. Lee, Professor Vincenzo Loia (eds.)/Computational Intelligence for Agent-based Systems_2096207.pdf
备用出版商
Springer Spektrum. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Springer London, Limited
备用出版商
Springer Nature
备用版本
Studies in computational intelligence -- 72, Berlin, NewYork, Germany, 2007
备用版本
Studies in computational intelligence, 72, Berlin Heidelberg, 2007
备用版本
Springer Nature, Berlin, 2007
备用版本
Germany, Germany
备用版本
2007, FR, 2007
备用版本
1, 20070724
元数据中的注释
lg942324
元数据中的注释
{"container_title":"Studies in Computational Intelligence","edition":"1","isbns":["354073175X","3540731776","9783540731757","9783540731771"],"issns":["1860-949X"],"last_page":282,"publisher":"Springer","series":"Studies in Computational Intelligence 72"}
元数据中的注释
Includes bibliographical references.
备用描述
The scope of this volume is to give to the reader a wide scenario of recent works characterized by a synergistic combination of Soft Computing area with recent trends of Distributed Artificial Intelligence and Ambient Int- ligence. We edited this book for two basic motivations: the emergence of computational intelligence as a mature and integrated science, and the power of the agent paradigm in realizing complex and distributed environments. Computational Intelligence has nowadays a mature formal theory and robust implementation experiences. Intelligent agents have shown their inner ability in acquiring data and knowledge from and performing appropriate de- sions through a functional relation that maps percepts to actions. Compu- tional Intelligence inside Agents are extremely helpful to support the designer of agent-based systems in treating with unknown or ill-defined envir- ments so to better handle knowledge representation and reasoning under these assumptions. The formulation of cooperative strategies, the linguistic aspects of the communication, the local decision versus the global kno- edge, the actions and plans as distributed viewpoints could be characterized by an incomplete knowledge and by a fragmentation of logical inter- tions, faced often by a non-monotonic reasoning. While building “smart” environments many challenges arises. The system needs to interact with its users in order to obtain feedback in a non-intrusive way. Explicit/implicit feedback is needed to take decisions in near-real time.
Erscheinungsdatum: 13.08.2007
备用描述
Front Matter....Pages i-xvii
A Proposal of an Open Ubiquitous Fuzzy Computing System for Ambient Intelligence....Pages 1-27
Agent-Controlled Sharing of Distributed Resources in User Networks....Pages 29-60
Adding Intelligence to Ubiquitous Computing Environments....Pages 61-102
iJADE FreeWalker – An Intelligent Ontology Agent-based Tourist Guiding System....Pages 103-125
iJADE InfoSeeker: On Using Intelligent Context-Aware Agents for Retrieving and Analyzing Chinese Web Articles....Pages 127-153
A Third-Generation Telecare System using Fuzzy Ambient Intelligence....Pages 155-175
Interacting Agents in a Network for in silico Modeling of Nature-Inspired Smart Systems....Pages 177-231
DigitalBeing: An Ambient Intelligence Interactive Dance Experience....Pages 233-263
备用描述
The scope of this volume is to give to the reader a wide scenario of recent works characterized by a synergistic combination of Soft Computing area with recent trends of Distributed Artificial Intelligence and Ambient Intelligence. The editors present two basic the emergence of computational intelligence as a mature and integrated science, and the power of the agent paradigm in realizing complex and distributed environments. This book explores these emerging areas inviting well-known authors whose expertise is widely recognized.
开源日期
2013-08-01
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