By Beng Chin Ooi, Wee Siong Ng, Kian-Lee Tan, AoYing Zhou (auth.), Gianluca Moro, Claudio Sartori, Munindar P. Singh (eds.)
Peer-to-peer (P2P) computing is at the moment attracting huge, immense public recognition, spurred by means of the recognition of file-sharing platforms resembling Napster, Gnutella, Morpheus, Kaza, and a number of other others. In P2P platforms, a really huge variety of self sufficient computing nodes, the friends, depend on one another for prone. P2P networks are rising as a brand new allotted computing paradigm as a result of their power to harness the computing strength and the garage means of the hosts composing the community, and since they observe a totally open decentralized setting the place every body can take part autonomously. even supposing researchers engaged on allotted computing, multiagent structures, databases, and networks were utilizing related thoughts for a very long time, it's only lately that papers stimulated by means of the present P2P paradigm have all started showing in prime quality meetings and workshops. particularly, examine on agent platforms seems to be such a lot correct simply because multiagent platforms have continuously been regarded as networks of self reliant friends for the reason that their inception. brokers, which are superimposed at the P2P structure, include the outline of activity environments, decision-support functions, social behaviors, belief and recognition, and interplay protocols between friends. The emphasis on decentralization, autonomy, ease, and pace of development that offers P2P its merits additionally ends up in major power difficulties. such a lot widespread between those are coordination – the facility of an agent to make judgements by itself activities within the context of actions of alternative brokers, and scalability – the worth of the P2P platforms in how good they self-organize that allows you to scale alongside numerous dimensions, together with complexity, heterogeneity of co-workers, robustness, site visitors redistribution, etc.
This booklet brings jointly an creation, 3 invited articles, and revised types of the papers provided on the moment overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2003, held in Melbourne, Australia, July 2003.
Read or Download Agents and Peer-to-Peer Computing: Second International Workshop, AP2PC 2003, Melbourne, Australia, July 14, 2003, Revised and Invited Papers PDF
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Additional info for Agents and Peer-to-Peer Computing: Second International Workshop, AP2PC 2003, Melbourne, Australia, July 14, 2003, Revised and Invited Papers
They are sets of expectations regarding the anticipated utterance of elementary RDs in a certain discourse context, inductively learned by the SRDS from the observation of agent communications. Each element of a social resource description is the expectation of a certain reply to a question regarding the agreement with an elementary RD, directed to agents (or, in a generalized way, to social agent roles) which currently participate in the observed forum. e. “descriptions of descriptions” with a common property type “Assent”: From a multidimensional description (resource, propertyT ype, value) as in RDF we can generate meta-descriptions in the form of (propertyT ype = value, Assent, degree of assent), where the first element of this tuple is the content (logical proposition) of an assertive speech act, the second element denotes the property type corresponding to the speech act performative “Assert”3 .
However, the weaknesses of P2P systems, of which some are intensiﬁed in multi-agent systems, cannot be ignored. These weaknesses suggest that P2P agent systems may signiﬁcantly luck in their robustness when compared to other, less distributed and more structured, systems. P2P systems are vulnerable to multiple attacks of which only some have solutions known in the art. They rely on trust and privacy, and these are only partly enhanced by technological solutions. They are further exposed to manipulative behavior, for which solutions may be too complex.
Wang and J. Vassileva Every agent has an interest vector. The interest vector is composed of ﬁve elements: music, movie, image, document and software. The value of each element indicates the strength of the agent’s interests in the corresponding ﬁle type. The ﬁles the agent wants to download are generated based on its interest vector. Every agent keeps two lists. One is the agent list that records all the other agents that the agent has interacted with and its trust values in these agents. The other is the ﬁle provider list that records the known ﬁle providers and the corresponding Bayesian networks representing the agent’s trusts in these ﬁle providers.
Agents and Peer-to-Peer Computing: Second International Workshop, AP2PC 2003, Melbourne, Australia, July 14, 2003, Revised and Invited Papers by Beng Chin Ooi, Wee Siong Ng, Kian-Lee Tan, AoYing Zhou (auth.), Gianluca Moro, Claudio Sartori, Munindar P. Singh (eds.)