论文信息 - Inferring Task Structure From Data

Inferring Task Structure From Data

An algorithm is presented for fitting an expression composed of continuous and discontinuous primitive functions to real-valued data points. The data modeling problem comes from the need to infer task structure for making coordination decisions for multi-agent systems. The presence of discontinuous primitive functions requires a novel approach.

Paul E. Utgoff | Victor Lesser | David Jensen

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