A Cognitive Map for an Artificial Agent

We show how a general-purpose cognitive architecture augmented with a general diagrammatic component can represent and reason about Large-scale Space. The diagrammatic component allows an agent built in this architecture to represent information both symbolically and diagrammatically as appropriate. Using examples we show (a) how the agent’s bimodal… CONTINUE READING