Abstract
This poster describes a transdisciplinary practical-theoretical on-going research, which address on the discussion about the possible applications of Artificial Intelligence (AI) techniques, such as genetic algorithms, which underlie the Maturana and Varela’s autopoietic concept considering the achievement of emergent results as heuristic to creativity. Through human interaction using neuronal bio-feedback it is possible to provide more natural fitness function to such algorithms.
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de Paula Barretto, F., Venturelli, S., do Rego, G.G. (2013). Towards an Emergent and Autopoietic Approach to Adaptative Chord Generation through Human Interaction. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 373. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39473-7_115
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DOI: https://doi.org/10.1007/978-3-642-39473-7_115
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