Market-Based Distributed Task Selection in Multi-agent Swarms Export

@inproceedings{Dasgupta2006MarketBased, abstract = {We consider the problem of distributed task allocation across swarm units comprising a swarm-based system. We model task allocation as a dynamic pricing problem within a market setup. Experimental results within a simulated environment for a distributed automatic target recognition application show that the market-based task selection mechanism compares favorably with other heuristic-based task selection strategies.}, address = {Washington, DC, USA}, author = {Dasgupta, Prithviraj and Hoeing, Matthew}, booktitle = {IAT '06: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology}, citeulike-article-id = {3400661}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1194654}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/IAT.2006.87}, citeulike-linkout-2 = {http://dx.doi.org/http://dx.doi.org/10.1109/IAT.2006.87}, citeulike-linkout-3 = {http://dx.doi.org/10.1109/IAT.2006.87}, comment = {Describes their market-based task selection system. They work in both pheromones and currency? hmmm... - Compare themselves with (apparently) very simple heuristics. Ascribe the variation in predicted an d measured results to "inadequate dispersion of robots across the environment" and "Communication inefficiency". Very much the same as the COMSTAR article, maybe with better performance metrics. "To develop a suitable task selection mechanism, we model pheromone update at tasks as a market-based competitive game between the different tasks in the environment. Our market-based task selection mechanism is based on the dynamic posted pricing model for exchange of goods in an information economy."}, doi = {10.1109/IAT.2006.87}, isbn = {0-7695-2748-5}, keywords = {auction, automated-target-recognition, comstar, dynamic-posted-pricing, stigmergy, uav}, pages = {113--116}, posted-at = {2008-10-13 15:14:43}, priority = {0}, publisher = {IEEE Computer Society}, title = {Market-Based Distributed Task Selection in Multi-agent Swarms}, url = {http://dx.doi.org/10.1109/IAT.2006.87}, year = {2006} }

TY - CONF ID - Dasgupta2006MarketBased L3 - citeulike-article-id:3400661 N2 - We consider the problem of distributed task allocation across swarm units comprising a swarm-based system. We model task allocation as a dynamic pricing problem within a market setup. Experimental results within a simulated environment for a distributed automatic target recognition application show that the market-based task selection mechanism compares favorably with other heuristic-based task selection strategies. SN - 0-7695-2748-5 AD - Washington, DC, USA EP - 116 TI - Market-Based Distributed Task Selection in Multi-agent Swarms PB - IEEE Computer Society T2 - IAT '06: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology SP - 113 KW - auction KW - automated-target-recognition KW - comstar KW - dynamic-posted-pricing KW - stigmergy KW - uav N1 - Describes their market-based task selection system. They work in both pheromones and currency? hmmm... - Compare themselves with (apparently) very simple heuristics. Ascribe the variation in predicted an d measured results to "inadequate dispersion of robots across the environment" and "Communication inefficiency". Very much the same as the COMSTAR article, maybe with better performance metrics. "To develop a suitable task selection mechanism, we model pheromone update at tasks as a market-based competitive game between the different tasks in the environment. Our market-based task selection mechanism is based on the dynamic posted pricing model for exchange of goods in an information economy." AU - Dasgupta, Prithviraj AU - Hoeing, Matthew PY - 2006/// UR - http://dx.doi.org/10.1109/IAT.2006.87 ER -