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首页> 外文期刊>IEEE intelligent systems >Puppetry vs. Creationism: Why AI Must Cross the Chasm
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Puppetry vs. Creationism: Why AI Must Cross the Chasm

机译：木偶与创造论：为什么人工智能必须跨越鸿沟

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Artificial intelligence began with an enthusiastic embrace of newly available computing machinery and the basic question of what kinds of problems we could solve with it. The first 50 years focused on programming computers to perform tasks that previously only humans could do. Then, people began comparing machines to humans as problem solvers, and the race was on to see where machines could match or even surpass human performance. Success in solving math word problems, winning checkers and chess championships, understanding natural language, and generating plans and schedules reinforced our efforts to build supercapable machines. The author call these puppets, not to derogate the machines but to respect the importance of the programmers and builders who were actually responsible for their accomplishments. From time to time, many of us have recognized the field's rate-limiting factor under various names and viewpoints, such as the knowledge-acquisition bottleneck and the challenges of machine learning, system bootstrapping, artificial life, and self-organizing systems. Mostly, however, these efforts have had limited success. The little bit of learning and adaptation they've demonstrated has paled in comparison to the puppeteers' laborious inputs
机译：人工智能始于对新近可用的计算机设备的热情拥抱，以及我们可以用它解决什么样的问题的基本问题。前50年专注于对计算机进行编程以执行以前只有人类才能完成的任务。然后，人们开始将机器与人作为问题解决者进行比较，然后进行竞赛以查看机器在哪里可以匹配甚至超越人类的性能。解决数学单词问题，赢得国际跳棋和国际象棋锦标赛，了解自然语言以及制定计划和时间表的成功，加强了我们制造超能力机器的努力。作者称这些为人偶，并不是贬低机器，而是尊重实际上对自己的成就负责的程序员和构建者的重要性。时不时地，我们许多人已经以各种名称和观点认识到了该领域的限速因素，例如知识获取瓶颈和机器学习，系统引导，人工生命和自组织系统的挑战。但是，大多数情况下，这些努力取得的成功有限。与伪装者辛苦的投入相比，他们所表现出的学习和适应的一点点苍白

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