The ACP and LLM-based framework for criminology: a review and prospect

LIU Jiaxi; WANG Xingxia; FAN Lili; HUANG Jun; ZHANG Ning; MENG Qingzhen

doi:10.11959/j.issn.2096-0271.202512

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The ACP and LLM-based framework for criminology: a review and prospect

Surveys and Prospectives | 更新时间：2025-06-10

- The ACP and LLM-based framework for criminology: a review and prospect
- Chinese Journal of Intelligent Science and Technology Vol. 7, Issue 1, Pages: 21-29(2025)
- 作者机构：
  
  1.英国曼彻斯特大学社会科学学院，曼彻斯特 M13 9PL
  2.中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  3.中国科学院自动化研究所多模态人工智能系统全国重点实验室，北京 100190
  4.北京理工大学自动化学院，北京 100081
  5.澳门科技大学创新工程学院，澳门 999078
  6.公安部鉴定中心，北京 100038
- 作者简介：
- 基金信息：
  
  Central Public Welfare Research Institutes Basic Scientific Research Operating Expenses Special Fund Project(2024YJGG01)
- DOI：10.11959/j.issn.2096-0271.202512
  CLC： D917
- Received：11 February 2025，
  
  Revised：2025-03-02，
  
  Published：15 March 2025
- 稿件说明：
移动端阅览
刘佳茜,王兴霞,范丽丽等.基于ACP和LLM犯罪学研究进展：综述与展望[J].智能科学与技术学报,2025,07(01):21-29.

LIU Jiaxi,WANG Xingxia,FAN Lili,et al.The ACP and LLM-based framework for criminology: a review and prospect[J].Chinese Journal of Intelligent Science and Technology,2025,07(01):21-29.
刘佳茜,王兴霞,范丽丽等.基于ACP和LLM犯罪学研究进展：综述与展望[J].智能科学与技术学报,2025,07(01):21-29. DOI： 10.11959/j.issn.2096-0271.202512.

LIU Jiaxi,WANG Xingxia,FAN Lili,et al.The ACP and LLM-based framework for criminology: a review and prospect[J].Chinese Journal of Intelligent Science and Technology,2025,07(01):21-29. DOI： 10.11959/j.issn.2096-0271.202512.

摘要

为提供犯罪学研究的新视角和更有效的工具，围绕如何基于ACP（人工系统、计算实验、平行执行）方法和大语言模型（large language model，LLM）进行犯罪学研究展开。首先，深入剖析了传统犯罪学研究在系统刻画、动态推演及实证研究等方面面临的瓶颈，并详细阐述了ACP方法在解决上述挑战中的潜在优势。然后，提出了基于ACP和LLM的犯罪学研究框架，探讨了其理论意义与实践价值。最后，对未来基于LLM的数字助手如何赋能犯罪学研究进行了展望，同时指出该模式在实际应用中可能面临的挑战，并强调应多加强多学科协作与技术创新，以推动犯罪学理论与实践发展，提升犯罪防控整体效能。

Abstract

New perspectives and powerful tools for criminology research were provided by exploring how the ACP (artificial systems

computational experiments

and parallel execution) approach and large language model (LLM) could be integrated into criminological studies. Firstly

an in-depth analysis of the challenges faced by traditional criminology in system characterization

dynamic simulation

and empirical research was conducted. The potential advantages of the ACP approach in addressing these challenges were then elaborated. Subsequently

a criminology research framework based on ACP and LLM was proposed

and its theoretical significance and practical value were discussed. Finally

it was envisioned how LLM-based digital assistants could enhance criminological research in the future. Given the challenges in practical applications

interdisciplinary collaboration and technological innovation are necessary to further advance criminological studies and improve crime prevention effectiveness.

关键词

Keywords

references

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