By Emmanuel Adam, René Mandiau (auth.), Paolo Giorgini, Brian Henderson-Sellers, Michael Winikoff (eds.)
Thisproceedingsvolumeofthe5thAOISWorkshopisanopportunityforlooking again at ?ve years of organizing AOIS workshops. What did we in achieving with the AOIS workshop sequence? the place have been we ?ve years in the past, the place are we now? Did ourthemeimpactontheinformationsystems?eldinthewaythatwehadhoped for? AOIS workshops have taken position in Seattle, Heidelberg, Stockholm, Austin, Montr´ eal, Interlaken, Toronto, Bologna, Melbourne, and Chicago, consistently in c- junction with a big convention on both multiagent structures in arti?cial - telligence (AI/MAS) or info structures (IS). we now have attempted to innovate in conserving those workshops as biconference occasions (each yr AOIS held wo- store occasions, one at an AI/MAS convention and one at an IS conference), in addition to utilizing the AOIS site as a medium for communique between researchers. So, definitely, we now have reached a large viewers of researchers around the globe from either the AI/MAS and IS groups. yet did we additionally have the capacity to building up a committed AOIS neighborhood? 5 years in the past, we wrote: “Agent thoughts may well essentially regulate the character of knowledge platforms of the longer term, and the way we construct them, very like based research, ER modeling, and Object-Orientation has brought on basic alterations in IS perform. ” in fact, a interval of ?ve years is simply too brief for comparing the luck or failure of a brand new scienti?c paradigm. yet nonetheless we may well realize that whereas so much IS meetings in the meantime checklist brokers as one in every of their many most well liked subject matters, agent-orientation is mostly now not thought of to be a basic IS paradigm.
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Additional resources for Agent-Oriented Information Systems: 5th International Bi-Conference Workshop, AOIS 2003, Melbourne, Australia, July 14, 2003 and Chicago, IL, USA, October 13, 2003, Revised Selected Papers
It is curious about the results itself. After B obtains the desired item itself, it can forward Trustworthy Service Caching: Cooperative Search in P2P Information Systems 37 it to A. Notice that among B’s neighbours (D, E), D is the only one whose expertise vector matches the query, so B sends the query only to D. After B receives the item from D, it puts the item into its cache and forwards it to A. Meanwhile, since C is not interested in the query, it just sends a referral back to A. Notice that a search can yield multiple results.
Giorgini et al. ): AOIS 2003, LNAI 3030, pp. 32–44, 2004. © Springer-Verlag Berlin Heidelberg 2004 Trustworthy Service Caching: Cooperative Search in P2P Information Systems 33 niche clientele. These peers could control and exploit private knowledge bases that are unreachable by traditional search engines. Other peers would learn about and use the above peers. If a peer finds the received services useful, it may (1) use it (2) use it and refer others to it, or (3) use it and cache it so as to serve others from its cache.
An agent formulates queries by specifying a list of keywords which will be translated into a query vector. The keywords-based query gives flexibility to the search, in that the source peer does not need to know the exact name or the unique identifier of the data item it is looking for. Let’s walk through an example. 3]. The peers D and F have the desired item in their caches. Following Algorithm 1, A starts the search by computing the query vector. Next, it decides to which of its neighbours (B, C) to send the query, using (Equation 1).
Agent-Oriented Information Systems: 5th International Bi-Conference Workshop, AOIS 2003, Melbourne, Australia, July 14, 2003 and Chicago, IL, USA, October 13, 2003, Revised Selected Papers by Emmanuel Adam, René Mandiau (auth.), Paolo Giorgini, Brian Henderson-Sellers, Michael Winikoff (eds.)