Gödelian体现自我参照的基因组智能:来自基因组bbb的AI和AGI的经验教训。

IF 3 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2025-09-15 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1624695
Sheri Markose
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引用次数: 0

摘要

基于代码的数字记录的安全性是21世纪的一个主要问题。人工智能和人工通用智能(AGI)可能会被数字对手攻击得支离破碎,一些人工智能目标可能会导致生存威胁。前者来自所有软件系统都容易遇到的问题,后者包括控制和不对齐问题。区块链技术,大约在2009年,可以解决这些问题:哈希算法依赖于人工软件系统中的共识机制,以保持软件的早期块不可变,并防止数字恶意软件的篡改,而新块只有在与原始块一致的情况下才能添加。有证据表明,支撑完整生命链的古老的基因组模式,使用的是一种自我参照,而不是基于共识的哈希算法。自我编码的知识允许生物元素通过自我报告他们被“否定”或被黑客攻击来实现无黑客议程,准确地实现Gödel,图灵和Post (G-T-P)基础数学中的Gödel句子。这就导致了一场开放式新奇的军备竞赛,以确保原始自我代码的首要地位。自我和自主性是神经科学研究复杂的自我-他人社会认知以及越来越多能够端到端编程自组装的自主AGI代理的主要内容。我的观点是,自我参照的G-T-P信息处理,首先在50万年前的颚鱼的适应性免疫系统中发现,最近在人类的镜像神经元系统中发现,使基于代码的自组织智能系统,如生命,存活了37亿年。我们可以从这个讨论中得到一些关于AGI的经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gödelian embodied self-referential genomic intelligence: lessons for AI and AGI from the genomic blockchain.

The security of code-based digital records is a major concern of the 21st century. AI and artificial general intelligence (AGI) can be hacked to pieces by digital adversaries, and some AI objectives can lead to existential threats. The former arises from sitting duck problems that all software systems are vulnerable to, and the latter include control and misalignment problems. Blockchain technology, circa 2009, can address these problems: hashing algorithms rely on a consensus mechanism in manmade software systems to keep early blocks of software immutable and tamper-proof from digital malware, while new blocks can be added only if consistently aligned with original blocks. There is evidence that the ancient precedent of the genomic blockchain, underpinning the unbroken chain of life, uses a self-referential rather than a consensus-based hashing algorithm. Knowledge of self-codes permits biotic elements to achieve a hack-free agenda by self-reporting that they have been "negated," or hacked, exactly implementing the Gödel sentence from foundational mathematics of Gödel, Turing, and Post (G-T-P). This results in an arms race in open-ended novelty to secure the primacy of original self-codes. Selfhood and autonomy are staples of neuroscience on complex self-other social cognition and increasingly of autonomous AGI agents capable of end-to-end programmed self-assembly. My perspective is that self-referential G-T-P information processing, first found in the adaptive immune system of jawed fish 500 mya and more recently in mirror neuron systems of humans, has enabled code-based self-organized intelligent systems like life to survive over 3.7 billion years. Some lessons for AGI can be gleaned from this discussion.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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