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. © 2011 Springer-Verlag.
CITATION STYLE
Baxter, P., & Browne, W. (2011). Memory-based cognitive framework: A low-level association approach to cognitive architectures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5777 LNAI, pp. 402–409). https://doi.org/10.1007/978-3-642-21283-3_50
Mendeley helps you to discover research relevant for your work.