HIVEMind: Grounding Inference in Cooperative Activity

Aaron Khoo and Ian Douglas Horswill

In this paper, we describe HIVEMind, a tagged behaviorbased architecture for small teams of cooperative robots. In HIVEMind, robots share inferences and sensory data by treating other team members as virtual sensors connected by wireless links. A novel representation based on bit-vectors allows team members to share intentional, attentional, and sensory information using relatively low-bandwidth connections. We describe an application of the architecture to the problem of systematic spatial search.

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