# Automating decision making to help establish norm-based regulations

arXiv: https://arxiv.org/abs/1703.09087 · HTML: https://mlsanity.com/paper/1703.09087/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Mar 2017.

## Built on by (most cited first, 2 of 2)

- [Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents](https://mlsanity.com/paper/2401.16461/) (2024)
- [Unweighted ranking for value-based decision making with uncertainty](https://mlsanity.com/paper/2605.13601/) (2026)

## Abstract (arXiv)

Norms have been extensively proposed as coordination mechanisms for both agent and human societies. Nevertheless, choosing the norms to regulate a society is by no means straightforward. The reasons are twofold. First, the norms to choose from may not be independent (i.e, they can be related to each other). Second, different preference criteria may be applied when choosing the norms to enact. This paper advances the state of the art by modeling a series of decision-making problems that regulation authorities confront when choosing the policies to establish. In order to do so, we first identify three different norm relationships -namely, generalisation, exclusivity, and substitutability- and we then consider norm representation power, cost, and associated moral values as alternative preference criteria. Thereafter, we show that the decision-making problems faced by policy makers can be encoded as linear programs, and hence solved with the aid of state-of-the-art solvers.