Fig. 2: Associative and abstract representation of transition structure.
From: Transferring structural knowledge across cognitive maps in humans and models
Learning underlying graph structure from observations of pictures. Graph can be represented by learning the associations between the stimuli (associative representation). Such representation is conjunctive, as the relations between the stimuli are encoded using the associations between the representation of the stimuli themselves. This type of representation does not allow generalization and knowledge transfer. Representing the graph using two separate matrices, the transition and emission matrices allows generalization over graph structure.
