【2h】

Intelligence: Real or artificial?

机译:情报:真实还是人为?

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摘要

Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally referred to behavior-environment relations and not to inferred internal structures and processes. It is concluded that if workers in artificial intelligence are to succeed in their general goal, then they must design machines that are adaptive, that is, that can learn. Thus, artificial intelligence researchers must discard their essentialist model of natural intelligence and adopt a selectionist model instead. Such a strategic change should lead them to the science of behavior analysis.
机译:在整个人工智能运动的整个历史中,研究人员一直致力于创建可以模拟一般人类智能的计算机。本文认为,人工智能工作者未能实现这一目标,因为他们采用了错误的人类行为和智力模型,即起源于传统自然智力哲学的认知本质论模型。对“智力”一词的分析表明,它最初是指行为与环境的关系,而不是推断内部结构和过程。结论是,如果人工智能工作者要在总体目标上取得成功,那么他们必须设计自适应的机器,即可以学习的机器。因此,人工智能研究人员必须抛弃其自然智能的本质主义模型,而应采用选择主义模型。这种战略上的改变应该使他们进入行为分析科学。

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