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Titlebook: Cooperative Information Agents VIII; 8th International Wo Matthias Klusch,Sascha Ossowski,Rainer Unland Conference proceedings 2004 Springe

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書目名稱Cooperative Information Agents VIII
副標(biāo)題8th International Wo
編輯Matthias Klusch,Sascha Ossowski,Rainer Unland
視頻videohttp://file.papertrans.cn/238/237980/237980.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Cooperative Information Agents VIII; 8th International Wo Matthias Klusch,Sascha Ossowski,Rainer Unland Conference proceedings 2004 Springe
描述These are the proceedings of the 8th International Workshop on Cooperative Information Agents (CIA 2004), held at the Fair and Congress Center in - furt, Germany, September 27–29, 2004. It was part of the multi-conference Net. ObjectDays 2004, and, in particular, was co-located with the 2nd German Conference on Multiagent Systems Technologies (MATES 2004). In today’s networked world of linked heterogeneous, pervasive computer systems, devices, and information landscapes, the intelligent coordination and provision of relevant added-value information at any time, anywhere, by means of cooperative information agents becomes increasingly important for a variety of applications. An information agent is a computational software entity that has access to one or multiple, heterogeneous, and geographically dispersed data and information sources. It proactively searches for and maintains information on behalf of its human users, or other agents, preferably just in time. In other words,itismanagingandovercomingthedi?cultiesassociatedwithinformation overload in open, pervasive information and service landscapes. Cooperative - formation agents may collaborate with each other to accomplish both
出版日期Conference proceedings 2004
關(guān)鍵詞Monitor; Simulation; Ubiquitous Computing; agent communication; agent cooperation; agents; algorithms; coop
版次1
doihttps://doi.org/10.1007/b100785
isbn_softcover978-3-540-23170-7
isbn_ebook978-3-540-30104-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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2007 Companies In Fluorescence,s not new. Multi-Agent Systems have long addressed the problems of coordinating heterogeneous, autonomous components so that they can collaborate and achieve joint goals. Several MAS use semantic descriptions to achieve a shared understanding of communications (both the purpose of the communication,
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2007 Companies In Fluorescence,of the method. The ACP2P method uses agent communities to manage and look up information related to users. An agent works as a delegate of its user and searches for information that the user wants by communicating with other agents. The communication between agents is carried out in a peer-to-peer c
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2007 Companies In Fluorescence,on, based on literature in psychology and organizational studies, is that a group performs some complex, routine task as a structured activity, that is, by following some protocols that allow its members to coordinate and share a common understanding about the current progress towards the group’s go
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2007 Companies In Fluorescence,r, most of the proposed solutions exhibit the following two problems: huge implementation overhead and unclear trust related model semantics. In this paper we show that a simple probabilistic technique, maximum likelihood estimation namely, can reduce these two problems substantially when employed a
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2007 Companies In Fluorescence,ropriate agents that can operate on such a specification is a very important one. In ., the problem is complicated even further by the fact that adherence to such a supposedly agreed specification cannot be ensured on the side of other agents..In this paper, we present an architecture for dealing wi
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