Value Distribution Simulations

Name of Project: Value Distribution Simulations

Proposal in one sentence: Simulations of redistributing value to the DAO members in order to find optimal parameters.

Description of the project and what problem is it solving:

The problem we will address is how to distribute value to the collective owners of Algovera’s AI algorithms, with the generative AI art algorithm being the use case we will focus on. This will help to ensure that the community and those that contribute AI models and analysis to Algovera are fairly rewarded and properly incentivised.

We will take an agent-based simulation approach, creating a fork and building on the work done in tokenSPICE. The agents in the simulation will represent consumers, algovera squads and AI models interacting with the OCEAN protocol, similar to the preliminary work on Algovera’s tokenSPICE fork (GitHub - AlgoveraAI/tokenspice: EVM agent-based token simulator 🐟🌪️).

The output of our work will be a blog post explaining which parameters are best and why.

Grant Deliverables:

  • Grant Deliverable 1: Simulations of Algovera’s value flow using Algovera parameters
  • Grant Deliverables 2: Blog post on optimal parameters (with visualizations)

Squad

Meijke Balay - Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.

Alex Joseph - Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.

Nathan Francis - Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.

Funding Requested: $1000

2 Likes

I have been thinking about the best way to redistribute value in the Algovera ecosystem too. I would be interested to find out the output of your work. Good luck!