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 a big convention on both multiagent structures in arti?cial - telligence (AI/MAS) or info platforms (IS). we've attempted to innovate in retaining 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 conversation between researchers. So, definitely, we have now reached a large viewers of researchers world wide from either the AI/MAS and IS groups. yet did we additionally have the ability to increase a devoted AOIS group? 5 years in the past, we wrote: “Agent suggestions might essentially adjust the character of data platforms of the longer term, and the way we construct them, very like established research, ER modeling, and Object-Orientation has caused 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 possibly become aware of that whereas so much IS meetings in the meantime checklist brokers as certainly one of their many most well liked issues, agent-orientation is usually now not thought of to be a basic IS paradigm.
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Extra 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
In addition, since remote agents may not be in the classroom, additional features such as video and audio streaming are useful. In general, remote agents have tighter time constraints and require a richer set of features. Finally, a group agent is a special student agent that allows a group of students to register their individual student agents. A group agent has a set of group-specific heuristics to guide its activity monitoring, data collection and analysis, as well as information dissemination behaviour within a group.
2], , , ]. IRI-h  is designed to function in a heteroge- I-MINDS: An Agent-Oriented Information System 19 neous network environment and offers audio, video and tool sharing services. It can also support class participants with limited multicast capabilities or limited connectivity bandwidth by providing a scalable infrastructure. Commercial products such as Centra Symposium  has features such as structured live interaction, asynchronous learning, rich content support, low bandwidth requirement, enterprise-class management and scalability and is easily deployed.
4. Structure of our teacher agent. and part of the evaluation module. We have also implemented a prototype of the student profiling module and a definition of a student profile. Each response by each student through his/her respective student agent is evaluated. The teacher agent presents a ranked list of questions (based on the content of the questions) from the students for the teacher to choose to address. Questions that are picked by the teacher to address will lead to higher “quality” for the students who asked the questions.