Fodor and Pylyshyn in their 1988 paper denounced the claims of the connectionists, claims that continue to percolate through neuroscience. In they proposed that a physical symbol system was necessary for open-ended cognition. What is a physical symbol system, and how can one be implemented in the brain? A way to understand them is by comparison of thought to chemistry. Both have systematicity, productivity and compositionality, elements lacking in most computational neuroscience models. To remedy this woeful situation, I examine cognitive architectures capable of open-ended cognition, and think how to implement them in a neuronal substrate. I motivate a cognitive architecture that evolves physical symbol systems in the brain. In Part 2 of this paper pair develops this architecture and proposes a possible neuronal implementation. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Fernando, C. (2013). Design for a darwinian brain: Part 1. philosophy and neuroscience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8064 LNAI, pp. 71–82). Springer Verlag. https://doi.org/10.1007/978-3-642-39802-5_7
Mendeley helps you to discover research relevant for your work.