Abstract
This paper presents a computational model addressing behavioral learning and planning with a fully neural approach. The prefrontal functionality that is modeled is the ability to schedule elementary action schemes to reach behavioral goals. The use of robust context detection is discussed, as well as relations to biological views of the prefrontal cortex.
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Frezza-Buet, H. (2002). Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_45
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DOI: https://doi.org/10.1007/3-540-46084-5_45
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