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Agent-causal libertarianism, statistical neural laws and wild coincidences

机译:代理人因果自由主义,统计神经法和野生巧合

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Agent-causal libertarians maintain we are irreducible agents who, by acting, settle matters that aren’t already settled. This implies that the neural matters underlying the exercise of our agency don’t conform to deterministic laws, but it does not appear to exclude the possibility that they conform to statistical laws. However, Pereboom (No?s 29:21–45, 1995; Living without free will, Cambridge University Press, Cambridge, 2001; in: Nadelhoffer (ed) The future of punishment, Oxford University Press, New York, 2013) has argued that, if these neural matters conform to either statistical or deterministic physical laws, the complete conformity of an irreducible agent’s settling of matters with what should be expected given the applicable laws would involve coincidences too wild to be credible. Here, I show that Pereboom’s argument depends on the assumption that, at times, the antecedent probability certain behavior will occur applies in each of a number of occasions, and is incapable of changing as a result of what one does from one occasion to the next. There is, however, no evidence this assumption is true. The upshot is the wild coincidence objection is an empirical objection lacking empirical support. Thus, it isn’t a compelling argument against agent-causal libertarianism.
机译:代理人的自由主义者维持我们是不可减少的代理商,通过行动,解决尚未解决的事项。这意味着我们代理机构行使的神经事项不符合确定性法律,但似乎并未排除他们符合统计法的可能性。然而,Pereboom(No?S 29:21-45,1995;剑桥大学出版社,剑桥,2001年,剑桥大学出版社;在:Nadelhoffer(Ed)惩罚的未来,牛津大学出版社,纽约,2013年)争论这是,如果这些神经事项符合统计或确定性的物理法律,则为适用法律赋予适用法律应该预期的完整符合性,鉴于适用的法律将涉及过于疯狂才能可信。在这里,我表明Peroboom的参数取决于假设,有时,在许多场合中的每一个中将发生某些行为的假设,并且由于从一个场合到下一个场合的结果而无法改变。 。但是,没有证据这个假设是真的。果实是野生巧合反对意见是缺乏实证支持的经验反对意见。因此,对代理人的自由主义来说并不是一个令人信服的争论。

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