Matthew Hoeing

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In the recent past, emergent computing based selfadaptive systems such as multi-agent swarms have become an attractive paradigm for designing large-scale distributed systems. In this paper, we consider a multi-agent swarmbased system for performing tasks in a domain characterized by search and execute operations. Our main focus is on the task allocation(More)
Over the past few years, swarm based systems have emerged as an attractive paradigm for building large scale distributed systems composed of numerous independent but coordinating units. In our previous work, we have developed a protoype system called COMSTAR (Cooperative Multi-agent Systems for automatic TArget Recognition) using a swarm of unmanned aerial(More)
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(More)
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