I've been here before!: location and appraisal in memory retrieval

The objective of our current work was to create a model for agent memory retrieval of emotionally relevant episodes. We analyzed agent architectures that support memory retrieval realizing that none fulfilled all of our requirements. We designed an episodic memory retrieval model consisting of two main steps: location ecphory, in which the agent's current location is matched against stored memories associated locations; and recollective experience, in which memories that had a positive match are re-appraised. We implemented our model and used it to drive the behavior of characters in a game application. We recorded the application running and used the videos to create a non-interactive evaluation. The evaluation's results are consistent with our hypothesis that agents with memory retrieval of emotionally relevant episodes would be perceived as more believable than similar agents without it.

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