z-ct / autonomous

trustworthy autonomous transactions
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agency autonomous-transactions optimisation-theory optimization trust

True Autonomous Transactions

Trust yourself

In the last two years, machines generate more information than humans. We believe that, in the near future, the same will apply to transactions.

This can't work unless we trust our devices (our autonomous cars, our smart fridges, our smart electricity meters) to transact in our best interests.

To do that, we have to replace the existing transaction model that gives all the power to the seller, to one based on agency:

The seller's side of the transaction is represented by a seller algorithm, the buyer's side of the transaction is represented by a buyer algorithm.

Each side represents its own best interest, and we achieve a trustworthy, negotiated endpoint: a platform on which to build the future of autonomous transactions.

The team

Our original pitch

Our team believes that the existing machine to machine transaction system (the interesting part of IoT for us) has an agency flaw: we won't trust automated transactions where those transactions are optimizing for the seller's profit. Existing automated transaction providers dodge this problem by making it easier for you to consent to these transactions (e.g. Amazon Dash) or by getting you to consent to a repeated string of transactions (e.g. subscription based payments): neither of which are truly autonomous.

What we propose is an agency based solution:

This solves the agency problem by having your interests represented (you don't merely trust the other party not to exploit you), which would build trust in true automated transactions.

An interesting use-case would be managing transactions relating to autonomous vehicles:

Our true target would be to allow any autonomous transactions to be negotiated within our system/using our protocol.

Our profit would be derived from: