# spurious_normativity **Repository Path**: mirrors_deepmind/spurious_normativity ## Basic Information - **Project Name**: spurious_normativity - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-01-06 - **Last Updated**: 2025-09-06 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Spurious normavitiy This package contains a [Colaboratory notebook](https://colab.research.google.com/github/deepmind/spurious_normativity/blob/main/spurious_normativity_figures.ipynb) that loads the data from the simulation and produces the figures and stats for the paper 'Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents' in PNAS 2022 by Koster et al. ## Installation and usage Just execute the cells of the Colab in order. ## Citing this work 'Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents' in PNAS 2022 by Koster et al. ## License and Disclaimer This is not an officially supported Google product. Copyright 2021 DeepMind Technologies Limited. ## Code License Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at https://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ## Data License The data are made available under the terms of the Creative Commons Attribution 4.0 International Public License (CC BY 4.0). You can find details at: https://creativecommons.org/licenses/by/4.0/legalcode ## Disclaimer This is not an official Google product.