Parallel Decision-Making yields Disentangled World Models: Impact and Implications

This work highlights recent results demonstrating that disentanglement comes about naturally when (biological or artificial) agents solve canonical decision-making tasks that require evidence aggregation, in parallel, and provides exact mathematical conditions for the emergence of disentangling representations.