By Michael Wooldridge (auth.), Vladimír Mařík, Olga à těpánková, Hana Krautwurmová, Michael Luck (eds.)
ISBN-10: 3540433775
ISBN-13: 9783540433774
This ebook offers a suite of completely refereed papers drawn jointly from 3 conferences on multi-agent systems.
Five of the academic lectures integrated have been awarded on the ACAI/EASSS 2001 summer time tuition on MAS, held in Prague, Czech Republic, in July 2001; seven revised reviewed pupil papers facing a number of features of MAS are incorporated to boot. A workshop on Adaptability and Embodiment utilizing MAS, AEMAS 2001, additionally held in Prague, Czech Republic, simultaneously with the ACAI/EASSS summer season university, is represented by way of 3 papers. eventually, another 9 papers have been chosen from a global Workshop on business purposes of Holonic and Multi-Agent platforms, HoloMAS 2001, held in Munich, Germany, in September 2001.
Read Online or Download Multi-Agent Systems and Applications II: 9th ECCAI-ACAI / EASSS 2001, AEMAS 2001, HoloMAS 2001 Selected Revised Papers PDF
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Extra resources for Multi-Agent Systems and Applications II: 9th ECCAI-ACAI / EASSS 2001, AEMAS 2001, HoloMAS 2001 Selected Revised Papers
Example text
The idea revolves around an agent creating a “trail” of radioactive crumbs whenever it finds a rock sample. The trail will be created when the agent returns the rock samples to the mother ship. If at some later point, another agent comes across this trail, then it need only follow it down the gradient field to locate the source of the rock samples. Some small refinements improve the efficiency of this ingenious scheme still further. First, as an agent follows a trail to the rock sample source, it picks up some of the crumbs it finds, hence making the trail fainter.
If the reactive layer can deal with this input, then it will do so; otherwise, bottom-up activation will occur, and control will be passed to the local planning layer. If the local planning layer can handle the situation, then it will do so, typically by making use of top-down execution. Otherwise, it will use bottom-up activation to pass control to the highest layer. In this way, control in interrap will flow from the lowest layer to higher layers of the architecture, and then back down again.
L. Lansky. Reactive reasoning and planning. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pages 677– 682, Seattle, WA, 1987. 23. M. P. Georgeff and A. S. Rao. A profile of the Australian AI Institute. IEEE Expert, 11(6):89–92, December 1996. 24. A. Haddadi. Communication and Cooperation in Agent Systems (LNAI Volume 1056). Springer-Verlag: Berlin, Germany, 1996. 25. J. Y. Halpern. Using reasoning about knowledge to analyze distributed systems. Annual Review of Computer Science, 2:37–68, 1987.
Multi-Agent Systems and Applications II: 9th ECCAI-ACAI / EASSS 2001, AEMAS 2001, HoloMAS 2001 Selected Revised Papers by Michael Wooldridge (auth.), Vladimír Mařík, Olga à těpánková, Hana Krautwurmová, Michael Luck (eds.)
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