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, continually in c- junction with an immense convention on both multiagent structures in arti?cial - telligence (AI/MAS) or info structures (IS). now we have attempted to innovate in preserving 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 site as a medium for verbal exchange between researchers. So, definitely, we've got reached a large viewers of researchers worldwide from either the AI/MAS and IS groups. yet did we additionally have the ability to increase a committed AOIS group? 5 years in the past, we wrote: “Agent innovations may possibly essentially adjust the character of data platforms of the longer term, and the way we construct them, very similar to dependent research, ER modeling, and Object-Orientation has triggered basic adjustments in IS perform. ” after all, a interval of ?ve years is simply too brief for comparing the good fortune or failure of a brand new scienti?c paradigm. yet nonetheless we may perhaps become aware of that whereas so much IS meetings in the meantime record brokers as certainly one of their many most popular themes, 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
0 for fidelity means an exact match between the queries is required, which would be rare, but a high fidelity improves the quality of the answers received. 0. 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.
Each agent offers varying levels of trustworthiness to others and is potentially interested in knowing if other agents are trustworthy (for its purposes). The agents can keep track of each other’s trustworthiness by flexibly giving and taking referrals and by learning about each other and the available services. There is no guarantee about the quality of a service provided by any agent or the suitability of a referral it offers. Hence, we do not assume that any agent should necessarily be trusted by others.
At the high level, we employ methodologies in intelligent P. Giorgini et al. ): AOIS 2003, LNAI 3030, pp. 16–31, 2004. © Springer-Verlag Berlin Heidelberg 2004 I-MINDS: An Agent-Oriented Information System 17 agents and multiagent systems to develop software decision makers and monitors. This framework is thus a unified approach to support teaching and learning, from the low-level enabling technology to the high-level cognitive activities. The long-term goals of our work are two-fold: (1) developing an agent-based distributed computing infrastructure specifically for education, addressing the interaction issues in real-time classroom scenarios, distance learning, and so on, and (2) developing an intelligent multiagent information system, built on top of the infrastructure developed in (1), that is able to monitor the activities, recognize patterns and interact with students and instructors alike to improve the quality of teaching and learning.