{"title":"自杀中的决策平衡:一个积极的推理解释。","authors":"Valery Krupnik","doi":"10.1080/13546805.2025.2504604","DOIUrl":null,"url":null,"abstract":"<p><p><b>Introduction:</b> Suicide is a behaviour whose motivation is challenging to explain as it can neither be rewarded nor punished since the agent no longer exists. The conventional explanation is that suicide is motivated as an escape from unresolvable psychological pain. However, despite suicide's high availability, its rates are very low (about 0.014% in the US). This speaks to high ambivalence as an essential feature of the suicidal mind.<b>Method:</b> To explicate the ambivalence of the suicidal mind, suicide has recently been framed within the active inference framework (AIF). AIF appears to be appropriate for conceptualising suicide because it is a theory of choice behaviour under uncertainty that, in suicide, cannot be resolved or, validated by experience. Moreover, AIF is based on the free-energy principle, which is proposed as a principle underwriting the very existence of sentient systems.<b>Results:</b> In this paper, we frame suicidal decision-making as the balance between the expected free energy of survival vs. suicide action policies. Based on this frame, we develop intuitions about the dynamics of suicidal decision-making. These intuitions are then proposed as guides for future research into suicidal decisions as well as suicide prevention.</p>","PeriodicalId":51277,"journal":{"name":"Cognitive Neuropsychiatry","volume":" ","pages":"1-22"},"PeriodicalIF":1.5000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decision-making balance in suicide: an active inference account.\",\"authors\":\"Valery Krupnik\",\"doi\":\"10.1080/13546805.2025.2504604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Introduction:</b> Suicide is a behaviour whose motivation is challenging to explain as it can neither be rewarded nor punished since the agent no longer exists. The conventional explanation is that suicide is motivated as an escape from unresolvable psychological pain. However, despite suicide's high availability, its rates are very low (about 0.014% in the US). This speaks to high ambivalence as an essential feature of the suicidal mind.<b>Method:</b> To explicate the ambivalence of the suicidal mind, suicide has recently been framed within the active inference framework (AIF). AIF appears to be appropriate for conceptualising suicide because it is a theory of choice behaviour under uncertainty that, in suicide, cannot be resolved or, validated by experience. Moreover, AIF is based on the free-energy principle, which is proposed as a principle underwriting the very existence of sentient systems.<b>Results:</b> In this paper, we frame suicidal decision-making as the balance between the expected free energy of survival vs. suicide action policies. Based on this frame, we develop intuitions about the dynamics of suicidal decision-making. These intuitions are then proposed as guides for future research into suicidal decisions as well as suicide prevention.</p>\",\"PeriodicalId\":51277,\"journal\":{\"name\":\"Cognitive Neuropsychiatry\",\"volume\":\" \",\"pages\":\"1-22\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Neuropsychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/13546805.2025.2504604\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Neuropsychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/13546805.2025.2504604","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Decision-making balance in suicide: an active inference account.
Introduction: Suicide is a behaviour whose motivation is challenging to explain as it can neither be rewarded nor punished since the agent no longer exists. The conventional explanation is that suicide is motivated as an escape from unresolvable psychological pain. However, despite suicide's high availability, its rates are very low (about 0.014% in the US). This speaks to high ambivalence as an essential feature of the suicidal mind.Method: To explicate the ambivalence of the suicidal mind, suicide has recently been framed within the active inference framework (AIF). AIF appears to be appropriate for conceptualising suicide because it is a theory of choice behaviour under uncertainty that, in suicide, cannot be resolved or, validated by experience. Moreover, AIF is based on the free-energy principle, which is proposed as a principle underwriting the very existence of sentient systems.Results: In this paper, we frame suicidal decision-making as the balance between the expected free energy of survival vs. suicide action policies. Based on this frame, we develop intuitions about the dynamics of suicidal decision-making. These intuitions are then proposed as guides for future research into suicidal decisions as well as suicide prevention.
期刊介绍:
Cognitive Neuropsychiatry (CNP) publishes high quality empirical and theoretical papers in the multi-disciplinary field of cognitive neuropsychiatry. Specifically the journal promotes the study of cognitive processes underlying psychological and behavioural abnormalities, including psychotic symptoms, with and without organic brain disease. Since 1996, CNP has published original papers, short reports, case studies and theoretical and empirical reviews in fields of clinical and cognitive neuropsychiatry, which have a bearing on the understanding of normal cognitive processes. Relevant research from cognitive neuroscience, cognitive neuropsychology and clinical populations will also be considered.
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