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Gideon Yaffe presents a theory of criminal responsibility according to which child criminals deserve leniency not because of their psychological, behavioural, or neural immaturity but because they are denied the vote. He argues that full shares of criminal punishment are deserved only by those who have a full share of say over the law.

Michael Bratman's work has been unusually influential, with significance in disciplines as diverse as philosophy, computer science, law, and primatology.The essays in this volume engage with ideas and themes prominent in Bratman's work. The volume also includes a lengthy reply by Bratman that breaks new ground and deepens our understanding of the nature of action, rationality, and social agency.

Political ideologies summarize dimensions of life that define how a person organizes their public and privateᅠbehavior, including their attitudes associated with sex, family, education, and personal autonomy [1ᅠandᅠ2]. Despite the abstract nature of such sensibilities, fundamental features of political ideology have been found toᅠbe deeply connected to basic biological mechanisms [3, 4, 5, 6ᅠandᅠ7] that may serve to defend against environmental challenges like contamination and physical threat [8, 9, 10, 11ᅠandᅠ12]. These results invite the provocative claim that neural responses to nonpolitical stimuli (like contaminated foodᅠor physical threats) should be highly predictive ofᅠabstract political opinions (like attitudes toward gun control and abortion) [13]. We applied a machine-learningᅠmethod to fMRI data to test the hypotheses that brain responses to emotionally evocative images predict individual scores on a standard political ideology assay. Disgusting images, especially those related to animal-reminder disgust (e.g., mutilated body), generate neural responses that are highly predictive of political orientation even though these neural predictors do not agree with participants' conscious rating of the stimuli. Images from other affective categories do not support such predictions. Remarkably, brain responses to a single disgusting stimulus were sufficient to make accurate predictions about an individual subjectメs political ideology. These results provide strong support for the idea that fundamental neural processing differences that emerge under the challenge of emotionally evocative stimuli may serve to structure political beliefs in ways formerly unappreciated.

Political ideologies summarize dimensions of life that define how a person organizes their public and private behavior, including their attitudes associated with sex, family, education, and personal autonomy [1, 2]. Despite the abstract nature of such sensibilities, fundamental features of political ideology have been found to be deeply connected to basic biological mechanisms [3–7] that may serve to defend against environmental challenges like contamination and physical threat [8–12]. These results invite the provocative claim that neural responses to nonpolitical stimuli (like contaminated food or physical threats) should be highly predictive of abstract political opinions (like attitudes toward gun control and abortion) [13]. We applied a machine-learning method to fMRI data to test the hypotheses that brain responses to emotionally evocative images predict individual scores on a standard political ideology assay. Disgusting images, especially those related to animal-reminder disgust (e.g., mutilated body), generate neural responses that are highly predictive of political orientation even though these neural predictors do not agree with participants' conscious rating of the stimuli. Images from other affective categories do not support such predictions. Remarkably, brain responses to a single disgusting stimulus were sufficient to make accurate predictions about an individual subject's political ideology. These results provide strong support for the idea that fundamental neural processing differences that emerge under the challenge of emotionally evocative stimuli may serve to structure political beliefs in ways formerly unappreciated.