Abstract
At its most fundamental, cognition as displayed by biological agents (such as humans) may be described as being the manipulation and utilisation of memory. A low-level approach to the associative sensory-motor development of cognition is then appropriate, rather than the more common higher-level functional approach. A novel theoretical framework – the memory-based cognitive framework (MBCF) – is proposed based upon these considerations. A computational architecture based on the MBCF is implemented on a mobile robot platform, and experimental results are presented to demonstrate the functionality of the architecture. It is shown that this low-level, bottom-up, approach can produce adaptive behaviours, which may ultimately form the foundation of cognitively flexible agents.
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Baxter, P., Browne, W. (2011). Memory-Based Cognitive Framework: A Low-Level Association Approach to Cognitive Architectures. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_50
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DOI: https://doi.org/10.1007/978-3-642-21283-3_50
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