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Trading-Off Mind Complexity and Locomotion in Virtually Embodied Quadruped Robot  (Make Corrections)  
Jason Teo, Hussein A. Abbass



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Abstract: This paper investigates the use of a multi-objective approach for evolving artificial neural networks that act as controllers for the legged locomotion of a 3-dimensional, artificial quadruped creature simulated in a physics-based environment. The Paretofrontier Differential Evolution (PDE) algorithm is used to generate a pareto optimal set of artificial neural networks that optimizes the conflicting objectives of maximizing locomotion behavior and minimizing neural network complexity. Here we... (Update)

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BibTeX entry:   (Update)

@misc{ teo-tradingoff,
  author = "Jason Teo and Hussein A. Abbass",
  title = "Trading-Off Mind Complexity and Locomotion in Virtually Embodied Quadruped
    Robot",
  url = "citeseer.ist.psu.edu/576702.html" }
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