Asymmetric Trust and Causal Reasoning in Blockchain-based AIs

@inproceedings{Venegas2018AsymmetricTA,
  title={Asymmetric Trust and Causal Reasoning in Blockchain-based AIs},
  author={Percy Venegas},
  year={2018}
}
We use genetic programming evolved networks, vector fields, and signal processing to study time varying-exposures where trust is implied (e.g. a conversion event from attention flow to financial commitment). The datasets are behavioral finance time series (from on-chain data, such as fees, and off-chain data, such as clickstreams), which we use to elaborate on various complexity metrics of causality, through the creation parametric network graphs. We discuss the related methods and applications… CONTINUE READING

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