Modelling the dynamics of crime and punishment: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.
作者信息
Abou Chakra Maria, Hilbe Christian
机构信息
Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306 Plön, Germany.
Program for Evolutionary Dynamics, Department of Organismic and Evolutionary Biology, and Department of Mathematics, Harvard University, Cambridge, MA 02138, USA.
出版信息
Phys Life Rev. 2015 Mar;12:22-3. doi: 10.1016/j.plrev.2015.01.020. Epub 2015 Jan 15.
PMID:25623959
Abstract
摘要
相似文献
1
Modelling the dynamics of crime and punishment: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.犯罪与惩罚动态建模：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪的统计物理学：综述》
Phys Life Rev. 2015 Mar;12:22-3. doi: 10.1016/j.plrev.2015.01.020. Epub 2015 Jan 15.
2
The role of mathematical modelling in modern criminology: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.数学建模在现代犯罪学中的作用：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪统计物理学：综述》
Phys Life Rev. 2015 Mar;12:34-5. doi: 10.1016/j.plrev.2014.12.001. Epub 2014 Dec 5.
3
Crime as a complex system: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.作为复杂系统的犯罪：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪的统计物理学：综述》
Phys Life Rev. 2015 Mar;12:32-3. doi: 10.1016/j.plrev.2015.01.013. Epub 2015 Jan 14.
4
Toward computational crime prediction: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.迈向犯罪的计算预测：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪的统计物理学：综述》
Phys Life Rev. 2015 Mar;12:28-9. doi: 10.1016/j.plrev.2015.01.007. Epub 2015 Jan 14.
5
Bridging the gap between physics and the social sciences: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.弥合物理学与社会科学之间的差距：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪的统计物理学：综述》
Phys Life Rev. 2015 Mar;12:30-1. doi: 10.1016/j.plrev.2014.11.003. Epub 2014 Nov 22.
6
Why interdisciplinary research enriches the study of crime: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.为何跨学科研究丰富了犯罪学研究：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪的统计物理学：综述》
Phys Life Rev. 2015 Mar;12:26-7. doi: 10.1016/j.plrev.2015.01.011. Epub 2015 Jan 14.
7
Recent advances in mathematical criminology: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.数学犯罪学的最新进展：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪的统计物理学：综述》
Phys Life Rev. 2015 Mar;12:38-9. doi: 10.1016/j.plrev.2015.01.008. Epub 2015 Jan 14.
8
A place for agent-based models: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.基于主体模型的一席之地：对M.R. 多尔索尼亚和M. 佩尔克所著《犯罪的统计物理学：综述》的评论
Phys Life Rev. 2015 Mar;12:24-5. doi: 10.1016/j.plrev.2015.01.022. Epub 2015 Jan 20.
9
We need more empirical investigations and model validation for a better understanding of crime: comment on "Statistical physics of crime: a review" by M.R. D'Orsogna and M. Perc.为了更好地理解犯罪，我们需要更多的实证研究和模型验证：评M.R. 多尔索尼亚和M. 佩尔克的《犯罪的统计物理学：综述》
Phys Life Rev. 2015 Mar;12:36-7. doi: 10.1016/j.plrev.2015.01.010. Epub 2015 Jan 14.
10
Physics for better human societies: reply to comments on "Statistical physics of crime: a review".物理学助力更美好的人类社会：对《犯罪的统计物理学：综述》评论的回应
Phys Life Rev. 2015 Mar;12:40-3. doi: 10.1016/j.plrev.2015.02.002. Epub 2015 Feb 27.
Zotero 插件