A Transaction Represented with Weighted Finite-State Transducers

TL;DR

This paper demonstrates how complex legal transactions can be modeled using weighted finite-state transducers, enabling better analysis and insight through computational methods.

Contribution

It introduces a novel application of weighted finite-state transducers to represent and analyze legal contracts and transactions.

Findings

Legal transactions modeled as weighted finite-state transducers

Mathematical algorithms provide actionable insights

Enhanced analysis of complex contractual pathways

Abstract

Not all contracts are good, but all good contracts can be expressed as a finite-state transition system ("State-Transition Contracts"). Contracts that can be represented as State-Transition Contracts discretize fat-tailed risk to foreseeable, managed risk, define the boundary of relevant events governed by the relationship, and eliminate the potential of inconsistent contractual provisions. Additionally, State-Transition Contracts reap the substantial benefit of being able to be analyzed under the rules governing the science of the theory of computation. Simple State-Transition Contracts can be represented as discrete finite automata; more complicated State-Transition Contracts, such as those that have downstream effects on other agreements or complicated pathways of performance, benefit from representation as weighted finite-state transducers, with weights assigned as costs, penalties, or probabilities of transitions. This research paper (the "Research" or "Paper") presents a complex legal transaction represented as weighted finite-state transducers. Furthermore, we show that the mathematics/algorithms permitted by the algebraic structure of weighted finite-state transducers provides actionable, legal insight into the transaction.