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2007
IEEE

On Scaling Multi-Agent Task Reallocation Using Market-Based Approach

9 years 7 months ago
On Scaling Multi-Agent Task Reallocation Using Market-Based Approach
Multi-agent systems (MAS) provide a promising technology for addressing problems such as search and rescue missions, mine sweeping, and surveillance. These problems are a form of the computationally intractable MultiDepot Traveling Salesman Problem (MDTSP). We propose a novel market-based approach, called Market-based Approach with Look-ahead Agents (MALA), to address the problem. In MALA, agents use look ahead to optimize their behavior. Each agent plans a preferred, reward-maximizing tour for itself using our proposed algorithm which is based on the Universal TSP algorithm. The agent then uses the preferred tour to evaluate potential trades with other agents in linear time – a necessary prerequisite for scalability of market-based approach. We use simulations in a two dimensional world to study the performance of MALA and compare it with O-contracts and TraderBots, respectively, a centralized approach and a distributed approach. Experiments suggest that MALA efficiently scales to...
Rajesh K. Karmani, Timo Latvala, Gul Agha
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where SASO
Authors Rajesh K. Karmani, Timo Latvala, Gul Agha
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