Inferring Task Structure From Data
Paul E. Utgoff, David D. Jensen, Victor Lesser · 2000
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.