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, continuously in c- junction with an immense convention on both multiagent structures in arti?cial - telligence (AI/MAS) or details structures (IS). we now have attempted to innovate in conserving 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 communique between researchers. So, definitely, we have now reached a large viewers of researchers worldwide from either the AI/MAS and IS groups. yet did we additionally be able to building up a committed AOIS neighborhood? 5 years in the past, we wrote: “Agent options may well essentially modify the character of data structures of the longer term, and the way we construct them, very similar to established research, ER modeling, and Object-Orientation has caused basic alterations in IS perform. ” in fact, a interval of ?ve years is just too brief for comparing the good fortune or failure of a brand new scienti?c paradigm. yet nonetheless we may perhaps detect that whereas such a lot IS meetings in the meantime record brokers as certainly one of their many hottest themes, agent-orientation is usually no longer 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
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W. ) Computer Assisted Instruction and Intelligent Tutoring Systems, (1992)201-238, Hillsdale, NJ: Lawrence Erlbaum. 18. : Conceptual and Metalearning during Coached Problem Solving, in Proc. of the 3rd Intelligent Tutoring Systems Conf, (1996)29-47, Berlin: SpringerVerlag 19. , R. Freedman, P. Jordan, C. Murray, R. Osan, M. Ringenberg, C. P. Ros, K. Schulze, R. Shelby, D. Treacy, A. Weinstein, and M. Wintersgill (2000). Fading and Deepening: The Next Steps for ANDES and Other Model-Tracing Tutors, in Intelligent Tutoring Systems: 5th Int.
Udupi, and Munindar P. Singh the answer. Thus, implicitly, the agents with high expertise end up giving the correct answers. After the answers are evaluated, the agent caches only the useful (good) answers (line 16). When a good answer comes in, the modelled expertise of the answering agent and the sociability of the agents that helped locate the answerer (through referrals) are increased. Similarly, when a bad answer comes in, these values are decreased (line 17). Each agent has equal number of neighbours.
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.)