Axiomatic Scalable Neurocontroller Analysis via the Shapley Value

@article{Keinan2006AxiomaticSN,
  title={Axiomatic Scalable Neurocontroller Analysis via the Shapley Value},
  author={Alon Keinan and Ben Sandbank and Claus C. Hilgetag and Isaac Meilijson and Eytan Ruppin},
  journal={Artificial Life},
  year={2006},
  volume={12},
  pages={333-352}
}
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have developed the multi-perturbation Shapley value analysis (MSA)the first axiomatic and rigorous method for deducing causal function localization from multiple-perturbation data, substantially improving on earlier approaches. Based on fundamental concepts from game theory, the MSA provides a formal way of defining and… CONTINUE READING

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