ItemConference Paper

Applying a Multi-Agent Simulation Model for Examining Restorative Justice-Based Intervention in the Criminal Justice System: A Legal and Technological Perspective

Title
Applying a Multi-Agent Simulation Model for Examining Restorative Justice-Based Intervention in the Criminal Justice System: A Legal and Technological Perspective
Creator
Ali, Khan Afrin Riyasat; Somu, C.S.; Bang, Sanjay
Description
Previous studies on Restorative Justice (RJ) have focused on the theoretical underpinnings of RJ and its processes. Several systematic literature reviews on RJ point out its potential to assist in victim healing much better compared to the traditional criminal justice system. However, the potential and viability of RJ largely remain in the theoretical landscape. Few empirical studies or simulations have been conducted to explore the viability of this practice in the legal domain. Furthermore, apart from purely studying RJ, literature also points towards its potential use in addressing child sexual abuse cases (CSA) by providing a child and victim-centric approach. However, the practicality of this claim remains scant in present times. Given the gap in the global discourse on the use of RJ as an intervention strategy in the criminal justice system, this paper outlines a computational framework for including RJ into the legal system. The paper does so by applying a Multi-Agent Simulation model (MAS). By utilising JADE for agent orchestration and NetLogo for a visual structure, the framework encodes multiple stakeholders such as accused/ offender, victim, counsellors and judges as autonomous agents with state vectors, utility performance and ACL-communication. The criminal justice system is compared to the restorative justice system using metrics like resolution rate, time, victim healing, rehabilitation and reintegration into the community. Through this paper, a foundation is laid for the potential of RJ in CSA. This paper will enable law and policy makers to consider introducing alternative practices like RJ. 2026 IEEE.
Source
2026 IEEE 3rd International Conference on Emerging Trends in Engineering and Medical Sciences, ICETEMS 2025;
Date
01-01-2026
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Artificial Intelligence; Child Sexual Abuse; JADE-NetLoGo Integration; Restorative Justice; Simulation; Victim rights
Coverage
Ali K.A.R., Christ University, Department of Law, Lavasa, India; Somu C.S., Christ University, Department of Law, Lavasa, India; Bang S., Christ University, Department of Law, Lavasa, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833159383-4;
Format
online
Language
English
Type
Conference paper

Citation

Ali, Khan Afrin Riyasat; Somu, C.S.; Bang, Sanjay, “Applying a Multi-Agent Simulation Model for Examining Restorative Justice-Based Intervention in the Criminal Justice System: A Legal and Technological Perspective,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/26001.

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