Simulated results from an agent-based model examining inequality and innovation in social networks

Theories of innovation often balance contrasting views that either smart people create smart things or smartly constructed institutions create smart things. While population models have shown factors including population size, connectivity, and agent behavior as crucial for innovation, few have taken the individual-central approach seriously by examining the role individuals play within their groups. To explore how network structures influence not only population-level innovation but also performance among individuals, we studied an agent-based model of the Potions Task, a paradigm developed to test how structure affects a group's ability to solve a difficult exploration task. We explore how size, connectivity, and rates of information sharing in a network influence innovation and how these have an impact on the emergence of inequality in terms of agent contributions. We find, in line with prior work, population size has a positive effect on innovation, but that large and small populati..., The data presented here were generated from an agent-based model of cultural innovation. Each model is comprised of agents assembled as nodes on a network. The principle model dynamic is elaborated through pairs of agents (dyads) combining sets of items beginning from an initial inventory of six that each agent starts with. Each ideal network is unweighted, but several of the real-world networks (chimpanzee, baboon, and Agta hunter-gatherer) are weighted networks. Items in each agent's inventory are initialized in an array containing two values: the name of the item and the item's score. In order to craft new items, three specific items must be combined between two agents. With the initial set of six items, there are two valid combinations which can be made: a combination of items a1, a2, and a3 or a combination of items b1, b2, and b3. These will form items 1a and 1b, respectively, which can be combined with items from the initial set in order to make further items. Agents select each ..., , # Innovation-Facilitating Networks Create Inequality [https://doi.org/10.5061/dryad.hhmgqnknz](https://doi.org/10.5061/dryad.hhmgqnknz) This is the repository for Moser & Smaldino (2023) \"Innovation-Facilitating Networks Create Inequality\". The manuscript is publicly available at [https://osf.io/preprints/socarxiv/n3hc6](https://osf.io/preprints/socarxiv/n3hc6). This repository contains all data analyzed in the study. The Python code for generating the data with an agent-based model, the R script for analysis, and CSVs containing real-world edge lists are in a separate GitHub repository, described below. **For assistance, please contact the corresponding author: Cody Moser ([[e-mail]](mailto:[e-mail]))** Recommended citation: Moser, C., & Smaldino, P.E (In press). Innovation-Facilitating Networks Create Inequality. *Proceedings of the Royal Society B: Biological Sciences.* ## Description of the Data The data are described in terms of what the datase...创新理论往往在两种对立观点之间寻求平衡：一种观点认为聪慧个体创造卓越成果，另一种则主张精心构建的制度催生卓越成果。尽管种群模型已证实种群规模、连接性与智能体（agent）行为等因素对创新至关重要，但鲜有研究重视以个体为中心的研究路径，深入考察个体在其所属群体中发挥的作用。为探究网络结构如何同时影响种群层面的创新与个体表现，我们采用了魔药任务（Potions Task）的智能体模型展开研究——该范式旨在检验网络结构如何影响群体解决复杂探索任务的能力。本研究探讨了网络中的规模、连接性与信息共享速率如何影响创新，以及这些因素如何在智能体贡献维度上催生不平等现象。本研究发现，与既往研究一致，种群规模对创新具有正向影响，但大、小种群……本文所呈现的数据均源自文化创新智能体模型。 每个模型均由作为网络节点的智能体构成。模型的核心动态机制通过智能体配对（二元组，dyads）展开：智能体从各自初始拥有的6件物品库存中选取若干组合。理想状态下的网络均为无权网络，但部分现实网络（黑猩猩社群、狒狒社群与Agta狩猎采集者社群网络）为加权网络。 每个智能体的库存物品均以包含两个字段的数组初始化：物品名称与物品分值。若要制作新物品，需由两名智能体之间组合三件特定物品。基于初始的6件物品，可生成两组有效组合：将物品a1、a2与a3组合，或物品b1、b2与b3组合，这两组组合将分别生成物品1a与1b，后续可将这些新生成物品与初始库存物品进一步组合，以创造更多新物品。智能体将选取每…… # 赋能创新的网络会催生不平等 [https://doi.org/10.5061/dryad.hhmgqnknz](https://doi.org/10.5061/dryad.hhmgqnknz) 本仓库对应Moser与Smaldino（2023）的论文《赋能创新的网络会催生不平等》。该手稿已公开于[https://osf.io/preprints/socarxiv/n3hc6](https://osf.io/preprints/socarxiv/n3hc6)。 本仓库包含本研究中所有分析所用的数据。用于通过智能体模型生成数据的Python代码、用于数据分析的R脚本，以及包含现实世界网络边列表的CSV文件均存放在下文所述的独立GitHub仓库中。 **如需协助，请联系通讯作者：Cody Moser（[[e-mail]](mailto:[e-mail])）** 推荐引用格式：Moser, C. 与 Smaldino, P.E.（即将刊出）. 赋能创新的网络会催生不平等. *Proceedings of the Royal Society B: Biological Sciences* ## 数据说明 本数据将从……维度进行说明