University of Texas Health Science Center at San Antonio.
Texas Neuropsychiatric Institute, San Antonio.
Nonlinear Dynamics Psychol Life Sci. 2022 Jul;26(3):315-347.
Intimate partner violence (IPV) is a scar on human society. Growing evidence demonstrates that relationships involving IPV and women's decisionmaking about violence represent complex phenomena, best studied as complex adaptive systems. Unfortunately, that complexity limits our ability to fully understand it. This paper presents findings from a series of agent-based models (ABMs) that were created from studies involving multiple time series of couples' daily reports of violence, perceptions and behaviors. To identify potential influencing variables, we modeled the impact that random stress and intentional behavior of the women could have on men's violence and stalking. ABM models of IPV noted the lack of violence at baseline without influence, and found that three variable parameters (Distance-Distance+, HerViolence-HerViolence+, Distance-Distance-) accounted for most patterns of violence development. Random stress and arguments had little effect and the nature of the alcoholviolence relationship remained unclear, however, her violence could increase his violence and stalking. One important difference between ABMs was the importance of the persistence of her concern about the effects of violence on children. Although only modeled in the second ABM, it proved critical to results. When modeling women's decision-making, her abstinence from arguments, alcohol use and violence had no effect on whether to seek help, take legal action or leave; random stress and her daily violence did not affect seeking counseling. However, daily arguments, forgiveness and heavy alcohol use did impact actiontaking, increasing counseling, legal action and leaving generally. The addition of catastrophe equations could alter these outcomes, resulting in more counseling but less legal action. In addition, children are very important when considering decision-making; concern for children affects violence while number of children affects decision-making. In conclusion, ABM can yield important insights into IPV and have clinical implications. It can provide greater understanding of the phenomenon and allow us to test the nature of correlations. (i.e., between alcohol use and violence). ABM can clarify the inherent complexity within violent couples and facilitate sense-making. Finally, it can allow clinicians to test interventions in vitro without risk to vulnerable women.
亲密伴侣暴力(IPV)是人类社会的一大创伤。越来越多的证据表明,涉及 IPV 的关系以及女性对暴力的决策是复杂的现象,最好作为复杂适应系统来研究。不幸的是,这种复杂性限制了我们全面理解它的能力。本文介绍了一系列基于代理的模型(ABM)的研究结果,这些模型是根据涉及夫妻每日暴力、感知和行为的多次时间序列研究创建的。为了确定潜在的影响变量,我们模拟了女性的随机压力和故意行为对男性暴力和跟踪的影响。IPV 的 ABM 模型指出,在没有影响的情况下,基线时没有暴力,发现三个变量参数(Distance-Distance+、HerViolence-HerViolence+、Distance-Distance-)可以解释大多数暴力发展模式。随机压力和争吵的影响很小,酒精和暴力之间的关系性质仍不清楚,然而,她的暴力行为可能会增加他的暴力行为和跟踪行为。ABM 模型之间的一个重要区别在于她对暴力对孩子影响的持续关注的重要性。尽管只在第二个 ABM 中建模,但它对结果至关重要。在对女性的决策进行建模时,她避免争吵、饮酒和暴力的行为对是否寻求帮助、采取法律行动或离开没有影响;随机压力和她的日常暴力也不会影响寻求咨询。然而,日常争吵、原谅和大量饮酒确实会影响采取行动,普遍增加咨询、法律行动和离开。添加灾难方程可以改变这些结果,导致更多的咨询,但法律行动减少。此外,在考虑决策时,孩子非常重要;对孩子的关心会影响暴力行为,而孩子的数量会影响决策。总之,ABM 可以为 IPV 提供重要的见解,并具有临床意义。它可以提供对这种现象的更深入理解,并允许我们测试相关性的本质。(即,酒精使用和暴力之间)。ABM 可以澄清暴力夫妻内部的固有复杂性,并促进理解。最后,它可以让临床医生在没有风险的情况下在体外测试干预措施,而无需让脆弱的女性面临风险。