Towards an Emergent and Autopoietic Approach to Adaptative Chord Generation through Human Interaction

  • Francisco de Paula Barretto
  • Suzete Venturelli
  • Gabriel Gaudencio do Rego
Part of the Communications in Computer and Information Science book series (CCIS, volume 373)


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.


autopoiesis emergence bio-feedback creativity genetic algorithms 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Francisco de Paula Barretto
    • 1
  • Suzete Venturelli
    • 1
  • Gabriel Gaudencio do Rego
    • 2
  1. 1.Computer Art Research LabUniversity of BrasiliaFederal DistrictBrazil
  2. 2.Laboratory of Cognitive and Social NeuroscienceMackenzie Presbyterian UniversitySo PauloBrazil

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