Learning Co-operative Decision Strategies
Authors: A. Waldock and D. Nicholson
This paper presents research on enabling co-operative decision strategies in a distributed sensor network conducted under the SEAS DTC project AA011. The paper begins with an introduction to distributed sensor networks and outlines two levels of co-operation: implicit and explicit co-operation. Implicit co-operation is the process of building and maintaining a common distributed picture where explicit co-operation is the process of negotiation to form a common distributed plan. This paper focuses on how explicit co-operation can be achieved across a distributed sensor network by exploiting factorisation in the utility function to form a factor graph. The paper describes an efficient approach to both building and solving this factor graph using the max-sum algorithm. Experimental results are presented in a simulated sensor-to-target assignment problem.
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