Stochastic Agent-Based Models of Intimate Partner Violence

TL;DR

This paper presents stochastic agent-based models of intimate partner violence that simulate couple dynamics based on psychological states and social influences, revealing patterns consistent with real-world IPV observations.

Contribution

It introduces a novel agent-based modeling approach incorporating psychological states and social factors to analyze IPV dynamics.

Findings

Emergence of characteristic IPV patterns in phase diagrams

Model aligns with observed IPV behaviors in literature

Social influence impacts violence escalation and de-escalation

Abstract

Intimate partner violence (IPV) is a significant public health problem and social issue that involves couples from all socioeconomic and cultural contexts. IPV may affect women and men, but these latter are the most common perpetrators of IPV. We developed stochastic Agent-Based models of IPV focused on the couple dynamics, determined by the parallel, individual behaviour of partners. Based on the psychological theory of the Cycle of Violence, we have developed a model based on four discrete states: passivity, normal situation, upset and physical assault. The individual transition probability depends on the previous state of the subject and that of the partner, and on a control parameter, the aggressiveness. We then let this parameter evolve depending on the perceived violence from past experiences (polarisation) or from the support received from the environment (social influence). From the analysis of the phase diagrams we observe the emergence of characteristic patterns, in agreement with the observations of IPV in the literature.