In this work, the Distributed Bayesian (D-Bay) algorithm is applied to an autonomous search use case. Within the use case multiple unmanned aerial vehicles equipped with cameras cooperatively search an area and minimize the required time. The use case is mod- eled within the continuous Distributed Constraint Optimization Problem (DCOP) framework. This framework extends the (discrete) DCOP framework by allowing variables with continuous domains. Compared to similar DCOP solvers, the characteristics of the D- Bay algorithm are well suited for the use case and allow for the implementation on autonomous vehicles with limited resources (computational power, memory, and communication bandwidth). Experimental results are given and these results are used to vali- date a simulation environment. Within the simulation environment various scenarios are implemented. The D-Bay algorithm was able to find solutions within 3.5 % of the optimal solution with a limited amount of samples per agent.

The Distributed Bayesian algorithm: simulation and experimental results

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AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). The aim of the joint conference is to provide a single, high-profile, internationally-respected archival forum for scientific research in the theory and practice of autonomous agents and multi-agent systems.

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AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). 

Jeroen Fransman

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The Distributed Bayesian algorithm: simulation and experimental results

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