Abstract
This paper presents a method for spatial navigation performed mainly on past experiences. The past experiences are remembered in their temporal context, i.e. as episodes of events. The learned episodes form an active autobiography that determines the future navigation behavior. The episodic and autobiographical memories are modeled to resemble the memory formation process that takes place in the rat hippocampus. The method implies naturally inferential reasoning in the robotic framework that may make it more flexible for navigation in unseen environments. The relation between novelty and life-long exploratory (latent) learning is shown to be important and therefore is incorporated into the learning process. As a result, active autobiography formation depends on latent learning while individual trials might be reward driven. The experimental results show that learning mediated by novelty provides a flexible and efficient way to encode spatial information in its contextual relatedness and directionality. Therefore, performing a novel task is fast but solution is not optimal. In addition, learning becomes naturally a continuous process – encoding and retrieval phase have the same underlying mechanism, and thus do not need to be separated. Therefore, building a “life long” autobiography is feasible.
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Barakova, E., Lourens, T. (2005). Spatial Navigation Based on Novelty Mediated Autobiographical Memory. In: Mira, J., Álvarez, J.R. (eds) Mechanisms, Symbols, and Models Underlying Cognition. IWINAC 2005. Lecture Notes in Computer Science, vol 3561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499220_37
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DOI: https://doi.org/10.1007/11499220_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26298-5
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