基于关联事件场的智能化仿真社会实验方法
Intelligent simulation social experiment method based on related event fields
陈玉珑 1张志忠 2马利庄 1叶淑兰 3陈敏刚4
作者信息
- 1. 上海交通大学电子信息与电气工程学院,上海 200240
- 2. 华东师范大学计算机科学与技术学院,上海 200062
- 3. 华东师范大学政治与国际关系学院,上海 200241
- 4. 上海计算机软件技术开发中心,上海 201112
- 折叠
摘要
智能化进程正在迅速推动数字中国建设,不断改变相关社会和人文形态,同时引发了人工智能涉及的社会衍生风险等关键问题.在遵循社会伦理和隐私保护前提下,前瞻性探索新型人工智能社会实验模式,规范人工智能技术的发展,具有重要的现实意义.探讨了在特定社会实验环境下的事件场构建方式方法,以及人物、行为和场景三者的关联关系,基于数据和实验的社会化传导模式以及社会衍生效应进行预测.尝试通过前瞻性的虚拟仿真博弈实验,验证智能化仿真社会实验模式的有效性,为政府提供前瞻性的决策工具和智慧管理建议.
Abstract
The advancement of intelligence is rapidly promoting the development of digital China and continuously changing the relevant social and humanistic landscapes,while also bringing to the fore key issues such as socially derived risks involved in artificial intelligence(AI).It is of great practical significance to prospectively explore new models for AI social experimentation and regulate the development of AI technologies under the premise of adhering to social ethics and privacy protection.Methods for constructing event fields within specific social experimental settings were examined,alongside the interrelationships between characters,behaviors,and scenarios.Social transmission patterns and social derived effects were also predicted based on data and experimentation.Through prospective virtual simulation game experiments,an attempt was made to validate the effectiveness of an intelligent simulation social experiment model,explored the formation,discover innovative theoretical models and methods for new artificial intelligence social experiments,verify the role of event field models in intelligent simulation social experiments,and explore the social trans-mission patterns based on data and experiments as well as social derivative effects based on data and experiments for prediction,aiming to provide forward-looking decision-making tools and intelligent management suggestions for the government.
关键词
仿真实验/事件场/数字化身/情感计算Key words
simulation experiments/event fields/digital avatars/emotional computing引用本文复制引用
基金项目
国家自然科学基金委员会青年项目(62302296)
国家自然科学基金委员会重大项目(61972157)
上海市科委重大项目(2021SHZDZX0102)
出版年
2024
NETL
NSTL
万方数据