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Implement "Lottery model" in jupyter notebook #51

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brian-lc opened this issue Jan 28, 2019 · 1 comment
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Implement "Lottery model" in jupyter notebook #51

brian-lc opened this issue Jan 28, 2019 · 1 comment

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@brian-lc
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brian-lc commented Jan 28, 2019

Overview

As an engineer, so I can explore aspects of the proposed model, implement the model in a jupyter notebook.

The model is described as such:
Similar to bookend except there is a randomly placed weight added to one of the positions between the bookends such that the owner in the random position of the provenance chain receives an unexpected bonus revenue % bump. Random position rotates each sale of the asset.

References

Model Notes

Assumptions

  • You could use the book-end implementation (which would make this issues dependent on that) or start from scratch. Both have benefits/drawbacks.

Acceptance

  • A notebook that has code and documentation which explains the model and the results of the analysis.
  • Notebook added to 'notebooks' folder in bootleg repo
@barlock barlock added this to the Sprint 2/1 milestone Jan 28, 2019
@hadasz hadasz self-assigned this Jan 29, 2019
@barlock barlock modified the milestones: Sprint 2/1, Sprint - 2/8 Feb 1, 2019
@brian-lc brian-lc changed the title Implement model #3 in jupyter notebook Implement "Lottery model" in jupyter notebook Feb 1, 2019
@brian-lc brian-lc assigned brian-lc and hadasz and unassigned hadasz and brian-lc Feb 1, 2019
@brian-lc
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brian-lc commented Feb 1, 2019

Potential area of research... how to do off-chain randomness that works in a deterministic way.

Does the randomness pass the good-enough test?

Think about the impact of the randomness to the implementation on chain.

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