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.
Citation:
Prithviraj Dasgupta, Matthew Hoeing, "Market-Based Distributed Task Selection in Multi-agent Swarms," iat, pp.113-116, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'06), 2006