Constructing smart legal contract for digital currencies in multi-party participation scenarios

Formal description and formal verification methods are used to develop the first smart legal contract for digital currencies tailored to multi-party application scenarios． A domain specific language model (DSLM) adapted to digital currency transactions was designed． A multi-party interaction temporal model based on computational tree logic (CTL) and linear temporal logic (LTL) was used to precisely describe execution sequence of transactions, interaction behaviors of participating parties, legal obligations and responsibilities of all parties during transaction． An automated smart contract code generation scheme was designed to automatically convert the transaction logic and temporal model described in the DSLM into smart contract code, significantly improving the efficiency of smart contract development but reducing human involvement and potential coding errors． This is applied in the enterprise loans involving multiple contracts and interactions among various parties． The smart legal contract for digital currencies is found to reflect business needs accurately, demonstrate excellent efficiency and legal compliance in the multi-party application scenario．