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 attaining 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, regularly in c- junction with a huge convention on both multiagent structures in arti?cial - telligence (AI/MAS) or details structures (IS). we've attempted to innovate in retaining those workshops as biconference occasions (each 12 months AOIS held wo- store occasions, one at an AI/MAS convention and one at an IS conference), in addition to utilizing the AOIS website as a medium for conversation between researchers. So, definitely, we've reached a large viewers of researchers worldwide from either the AI/MAS and IS groups. yet did we additionally be capable to increase a committed AOIS group? 5 years in the past, we wrote: “Agent thoughts may possibly essentially modify the character of data structures of the long run, and the way we construct them, very similar to established research, ER modeling, and Object-Orientation has prompted primary adjustments 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 possibly notice that whereas such a lot IS meetings in the meantime checklist brokers as certainly one of their many hottest issues, agent-orientation is usually now not thought of to be a primary IS paradigm.
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Additional info 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
2 Results We evaluate this caching technique by comparing the performance of the system with and without caching and by varying some of the control parameters discussed above. The evaluation depends on some measures of the performance and structure of the information system. Success Rate. This measures the ratio of the queries for which at least one good answer is found. Let T be the total number of queries. Let G be the total number of queries for which at least one good answer is found. Then success rate is given by G/T.
Some of the peers may have more than one item whose content matches the query vector. For each item, we can specify how good a match the item is to the given query, which allows the returned items to be trivially ranked based on the strength of their apparent match. 3 Evaluation We evaluate Marmara using simulations over an agent platform, which enables the agents to query each other, obtain responses or referrals and cache useful answers. We now briefly describe the simulation environment and some of the important parameters involved in testing.
In conventional practical systems, information access has been mapped to database lookup and an emphasis is placed on looking for correct or relevant results. In contrast, in open settings, we look for authoritative sources that can provide correct and relevant results. The results may be available from multiple sources and hence are not necessarily unique. The above distinction corresponds to the difference between requesting a copy of Abraham Lincoln’s Gettysburg Address (of which, say, there is one definitive version) and a commentary on the American Civil War.
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.)