• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Model-based reasoning in science and technology : Abduction, logic, and computational discovery >Does Everyone Think, or Is It Just Me?A Retrospective on Turing and the Other-Minds Problem
【24h】

Does Everyone Think, or Is It Just Me?A Retrospective on Turing and the Other-Minds Problem

机译：每个人都在想还是仅仅是我？图灵和其他人的问题回顾展

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

It has been roughly 60 years since Turing wrote his famous article on the question, "Can machines think?" His answer was that the ability to converse would be a good indication of a thinking computer. This procedure can be understood as an abductive inference: That a computer could converse like a human being would be explained if it had a mind. Thus, Turing's solution can be viewed as a solution to the other-minds problem, the problem of knowing that minds exist other than your own, applied to the special case of digital computers. In his response, Turing assumed that thinking is a matter of running a given program, not having a special kind of body, and that the development of a thinking program could be achieved in a simulated environment. Both assumptions have been undermined by recent developments in Cognitive Science, such as neuroscience and robotics. The physical details of human brains and bodies are indivisible from the details of human minds. Furthermore, the ability and the need of human beings to interact with their physical and social environment are crucial to the nature of the human mind. I argue that a more plausible solution to Turing's question is an analogical abduction: An attribution of minds to computers that have bodies and ecological adaptations akin to those of human beings. Any account of human minds must take these factors into consideration. Any account of non-human minds should take human beings as a model, if only because we are best informed about the human case.
机译：自图灵就此问题写出著名文章“机器可以思考吗？”以来，已经过去了大约60年。他的回答是，交谈的能力将很好地说明计算机的思维能力。此过程可以理解为一种推论性推论：如果计算机具有思维能力，则计算机可以像人一样交谈。因此，图灵的解决方案可以看作是其他思维问题的解决方案，这种思维问题适用于数字计算机的特殊情况。在回应中，图灵假设思维是运行给定程序的问题，没有特殊的身体，思维程序的开发可以在模拟环境中完成。认知科学的最新发展（例如神经科学和机器人技术）破坏了这两个假设。人脑和身体的物理细节与人脑的细节不可分割。此外，人类与他们的身体和社会环境互动的能力和需求对于人类思想的本质至关重要。我认为，对图灵问题的更合理的解决方案是类比绑架：将思想归因于具有类似于人类的身体和生态适应能力的计算机。对人类思想的任何考虑都必须考虑这些因素。任何关于非人类思想的解释都应以人类为榜样，即使仅仅是因为我们能最好地了解人类的情况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号