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271.
272.
Derek Alan Woodard-Lehman 《The Journal of religious ethics》2008,36(2):295-320
Today dominative power operates apart from, and exterior to, those state governmentalities that the "body politics" of Stanley Hauerwas disavows as "constantinian" entanglements such as military service, governmental office, and conspicuous expressions of civil religion. This is especially true with respect to those biopolitical modalities David Theo Goldberg names as "racelessness," by which material inequalities are racially correlated, thereby allowing whiteness to mediate life and ration death. If, as Hauerwas contends, radical ecclesiology is indeed a theopolitical alternative to the nation–state's politics of violence, then it must prove itself resistant to such racialized violence. However, inasmuch as the (largely) uncontested fact of ecclesial segregation recapitulates these broader stratifications and exclusions, the church functions as a passive civil religion and itself participates in the politics of "nonviolent violence." Thus, Hauerwas must do something that he has been reluctant to do. He must talk about race and racism more directly, specifying how his ecclesiological theopolitics resists such forms of violence; more importantly, he must demonstrate how actual ecclesial congregations instantiate such resistance. In short, to be truly nonviolent, Hauerwas's body politics must become a politics of bodies. 相似文献
273.
The computational power of massively parallel networks of simple processing elements resides in the communication bandwidth provided by the hardware connections between elements. These connections can allow a significant fraction of the knowledge of the system to be applied to an instance of a problem in a very short time. One kind of computation for which massively parallel networks appear to be well suited is large constraint satisfaction searches, but to use the connections efficiently two conditions must be met: First, a search technique that is suitable for parallel networks must be found. Second, there must be some way of choosing internal representations which allow the preexisting hardware connections to be used efficiently for encoding the constraints in the domain being searched. We describe a general parallel search method, based on statistical mechanics, and we show how it leads to a general learning rule for modifying the connection strengths so as to incorporate knowledge about a task domain in an efficient way. We describe some simple examples in which the learning algorithm creates internal representations that are demonstrably the most efficient way of using the preexisting connectivity structure. 相似文献