Titlebook: Evolutionary Criminology and Cooperation; Retribution, Recipro Evelyn Svingen Book 2023 The Editor(s) (if applicable) and The Author(s), un

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Evolutionary Criminology and Cooperation978-3-031-36275-0Series ISSN 2945-655X Series E-ISSN 2945-6568

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https://doi.org/10.1007/978-3-531-19009-9raphers, political scientists, philosophers, lawyers, city planners, economists, and even architects. Where some see a great strength in numbers, others point to the inherent communication problem when trying to share findings and theories. While proliferation of theories of crime causation continue

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https://doi.org/10.1007/978-3-658-06594-2nnot explain why. This chapter sheds light on one of the most unlikely explanatory mechanisms of crime: cooperation. By combining knowledge from neuroscience, evolutionary biology, and behavioural economics, I present the evidence that could help us understand crime and organise it into a Retributio

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Daniel Gro?mann,Tobias Wolbringd reciprocity. In this chapter, I unpack the neurophysiological mechanisms that are responsible for us showing these behaviours. Positive reciprocity mainly relies on the ventromedial prefrontal cortex (VMPFC) and the anterior cingulate cortex (ACC). In contrast, even though negative reciprocity als

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https://doi.org/10.1007/978-3-663-10009-6tribute to our understanding of crime. For the purposes of this endeavour, I designed an experiment that involved the use of hypothetical scenarios in which all participants were given a number of situations and then asked how likely they would be to react in a certain way. Just over a thousand part

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Daniel Gro?mann,Tobias Wolbring genetic components were discussed; however, only one gene was included in the model, the infamous Monoamine oxidase A (MAOA) gene, also known as the “warrior gene”, which I theorise to play a role in retribution. Therefore, RRM is a model that presents neurophysiological evidence to support its val

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https://doi.org/10.1007/978-3-642-46964-0 these factors are important in explaining crime and should not be overlooked by the field in the future. RRM relies on the interaction between the tendencies and the environments, and the findings support that view. When interactions are added in the model it can explain a significant variation of