Extended ramp goal module: Low-cost behaviour arbitration for real-time controllers based on biological models of dopamine cells

@article{Gaudl2014ExtendedRG,
  title={Extended ramp goal module: Low-cost behaviour arbitration for real-time controllers based on biological models of dopamine cells},
  author={Swen E. Gaudl and Joanna Bryson},
  journal={2014 IEEE Conference on Computational Intelligence and Games},
  year={2014},
  pages={1-8}
}
The current industrial focus in virtual agents and digital games is on complex systems that more accurately simulate the real world, including cognitive characters. This trend introduces a multitude of control parameters generally accompanied by high computational costs. The resulting complexity limits the applicability of AI in these domains. One solution to this problem is to focus on light-weight flexible AI architectures which can be simultaneously generated, controlled and run in parallel… CONTINUE READING

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