By Chris Giannella, Ruchita Bhargava, Hillol Kargupta (auth.), Matthias Klusch, Sascha Ossowski, Vipul Kashyap, Rainer Unland (eds.)
These are the complaints of the eighth overseas Workshop on Cooperative details brokers (CIA 2004), held on the reasonable and Congress middle in - furt, Germany, September 27–29, 2004. It used to be a part of the multi-conference web. ObjectDays 2004, and, specifically, was once co-located with the second German convention on Multiagent platforms applied sciences (MATES 2004). In today’s networked international of associated heterogeneous, pervasive desktops, units, and data landscapes, the clever coordination and provision of proper added-value info at any time, wherever, through cooperative details brokers turns into more and more very important for a number of purposes. a data agent is a computational software program entity that has entry to 1 or a number of, heterogeneous, and geographically dispersed info and data assets. It proactively searches for and keeps info on behalf of its human clients, or different brokers, ideally simply in time. In different words,itismanagingandovercomingthedi?cultiesassociatedwithinformation overload in open, pervasive details and repair landscapes. Cooperative - formation brokers may well collaborate with one another to complete either person and shared joint ambitions reckoning on the particular personal tastes in their clients, b- getary constraints, and assets on hand. One significant problem of constructing agent-based clever info platforms in open environments is to stability the autonomy of networked facts, info, and data resources with the aptitude payo? of leveraging them utilizing details brokers. Interdisciplinaryresearchanddevelopmentofinformationagentsrequires- pertise in appropriate domain names of knowledge retrieval, arti?cial intelligence, database platforms, human-computer interplay, and web and internet techn- ogy.
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Additional resources for Cooperative Information Agents VIII: 8th International Workshop, CIA 2004, Erfurt, Germany, September 27-29, 2004. Proceedings
Janssen Ed. Complexity and Ecosystem Management: The Theory and Practice of Multi-Agent Approaches, Edward Elgar Publishers, 2002. 4. M. Diana and M. M. Dessouky. A New Regret Insertion Heuristic for Solving Large-Scale Dial-a-Ride Problems with Time Windows. Transportation Research, Part B 38, pp. 539– 557, 2004. 5. A. Drogoul, D. Vanbergue, T. Meurisse. Multiagent-based Based Simulation: Where are the Agents? International Workshop on Multi-Agent Based Simulation (MABS-02), LNAI 2581, pp. 1–15, 2002.
We simulated the controlled experiments conducted by Sugiman in 1988 . He established a simple environment with human subjects to determine the effectiveness of two evacuation methods: the Follow-direction method and the Follow-me method. In the former, the leader shouts out evacuation instructions and eventually moves toward the exit. In the latter, the leader tells a few of the nearest evacuees to follow him and actually proceeds to the exit without verbalizing the direction of the exit. Sugiman used university students as evacuees and monitored the progress of the evacuations with different number of leaders.
Dessouky. A New Regret Insertion Heuristic for Solving Large-Scale Dial-a-Ride Problems with Time Windows. Transportation Research, Part B 38, pp. 539– 557, 2004. 5. A. Drogoul, D. Vanbergue, T. Meurisse. Multiagent-based Based Simulation: Where are the Agents? International Workshop on Multi-Agent Based Simulation (MABS-02), LNAI 2581, pp. 1–15, 2002. 6. K. Dresner and P. Stone. Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-04), 2004.