Martedì 24 Ottobre 2000, Raffaele Calabretta ci ha parlato di:
The concept of modularity is used with different meanings and implications in several research fields such as cognitive science, evolutionary psychology, neuroscience and robotics. I start my talk by reviewing these meanings and implications. Then, I claim that the lack of cross-fertilization among these research fields can be overcome by using the simulative models of Artificial Life, in which the presence of the different levels of biological organization forces us to use a common terminology and to elaborate unitary theories which are able to answer the questions asked in different areas. I conclude by presenting some specific examples of simulative models of Artificial Life already successfully used for exploring some open questions in evolutionary biology and cognitive science.
References
Calabretta, R., Nolfi, S., Parisi, D. & Wagner, G. P. (2000). Duplication of modules facilitates the evolution of functional specialization. Artificial Life 6:69-84. [pdf, ps.Z, abstract]
Di Ferdinando, A., Calabretta, R., & Parisi, D. (2000). Evolving modular architectures for neural networks. To appear in R. French & J. Sougné (Eds.), Proceedings of the Sixth Neural Computation and Psychology Workshop Evolution, Learning, and Development, pp. 253-262, London: Springer Verlag. [pdf, ps, abstract]