ACT-R Robots – ‘H’ Maze Simulation 3

In this third simulation using the ‘H’ Maze task, we attempt to optimize the way that ACT-R models create cognitive maps for a virtual spatial environment. In particular, the creation of nodes (or place fields) in the map is limited to situations where the robot is faced with a decision that affects its directional heading. This constraint results in a much more efficient use of the robot’s mnemonic resources: the robot only attempts to remember those spatial locations that could actually have an impact on future navigation-related decisions.

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