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By Manuel Kolp, Brian Henderson-Sellers, Haralambos Mouratidis, Alessandro Garcia, Aditya Ghose, Paolo Bresciani
This booklet constitutes the completely refereed post-proceedings of the eighth overseas Bi-Conference Workshop on Agent-Oriented details platforms, AOIS 2005, held in Hakodate, Japan, May9, 2006 and Luxembourg, Luxembourg, June 6, 2006.
The thirteen revised complete papers offered have passed through rounds of reviewing and development and have been rigorously chosen for inclusion within the publication. The papers are prepared in topical sections on Modelling, Methodologies, Agent-oriented software program Engineering, and Applications.
Read Online or Download Agent-Oriented Information Systems IV: 8th International Bi-Conference Workshop, AOIS 2006, Hakodate, Japan, May 9, 2006 and Luxembourg, Luxembourg, PDF
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Extra info for Agent-Oriented Information Systems IV: 8th International Bi-Conference Workshop, AOIS 2006, Hakodate, Japan, May 9, 2006 and Luxembourg, Luxembourg,
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These agents can provide information about their previous interactions with the desired agents. However, when considering open large-scale multi-agent systems three problems arise. First of all, agents must meet frequently in order for it to be possible to establish strong links among them and to pass along consistent reputations. This is often not possible when dealing with open systems where agents frequently enter and leave the systems. Secondly, the process of searching for agents that have interacted with the desired agents may take a long time.
37–52, 2008. © Springer-Verlag Berlin Heidelberg 2008 38 J. P. Guedes, V. P. de Lucena takes place when agents need to know the reputation of other agents with which they have not yet interacted. Since there is no central reputation system with this information, approaches such as [1], FIRE [6], Regret [9,10] and [13,14] propose the use of testimonies provided by agents that have interacted with the desired ones. These agents can provide information about their previous interactions with the desired agents.
As previously mentioned, domain rules can be freely created and joined with DynaCROM rules. Table 4 illustrates a domain rule (Rule6), which states that a given city will have its holidays composed with the holidays of its country. FederalHolidays) are discovered; finally, in (23), the holidays from the country are composed with the holidays of the given city. Fig. 5. Part of a DynaCROM domain ontology, extended and instantiated As previously mentioned, domain rules can be freely created and joined with DynaCROM rules.