Darwinian evolution has become dogma; AI can rescue what is salvageable

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Olen R. Brown , David A. Hullender
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引用次数: 0

Abstract

Artificial Intelligence (AI), as an academic discipline, is traceable to the mid-1950s but it is currently exploding in applications with successes and concerns. AI can be defined as intelligence demonstrated by computers, with intelligence difficult to define but it must include concepts of ability to learn, reason, and generalize from a vast amount of information and, we propose, to infer meaning. The type of AI known as general AI, has strong, but unrealized potential both for assessing and also for solving major problems with the scientific theory of Darwinian evolution, including its modern variants and for origin of life studies. Specifically, AI should be applied first to evaluate the strengths and weaknesses of the assumptions and empirical information underpinning theories of the origin of life and probability of its evolution. AI should then be applied to assess the scientific validity of the theory of how abundant life came to be on earth.

达尔文进化论已成为教条;人工智能可拯救可拯救的东西
人工智能(AI)作为一门学术学科,可追溯到 20 世纪 50 年代中期,但目前它的应用正呈爆炸式增长,既有成功,也有隐忧。人工智能可以定义为计算机所表现出的智能,智能很难定义,但必须包括从大量信息中学习、推理和概括的能力,以及我们提出的推断意义的能力等概念。被称为 "通用人工智能 "的人工智能在评估和解决达尔文进化论(包括其现代变体)中的重大问题以及生命起源研究方面具有强大的潜力,但这种潜力尚未实现。具体来说,人工智能应首先用于评估生命起源及其进化概率理论所依据的假设和经验信息的优缺点。然后,应用人工智能来评估关于地球上如何出现丰富生命的理论的科学有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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