I have the general scheme of smart contracts as computing fails to deliver, a convolution between pure cash 'events' and the Euler surfaces of contracts. We get a more detailed scale of contract failure, and pay offs thus more accurately scaled.
But the evolved grammar will look identical to existing contract law, except all the redundant terms r=moved, and all nodes have the grammar of fails to deliver. We quickly end up with a contract language operationally understood by the AI and humans alike. It will cause the web to change slightly, all the semantic nodes have a slight pricing surface, so that, with a few bits of precision a semantic match can be had. At that point we get true knowledge discovery, we and the web agree on language.
Aside:
Fails to delivery should be non-stationary, the odds change as bets pile in. Contracts have to specify a reference point, (annual measure, last week, etc).
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