智能：自然智能、人工智能还是什么？

IF 2 4区生物学 Q2 BIOLOGY

Biosystems Pub Date : 2024-09-26 DOI:10.1016/j.biosystems.2024.105343

Ron Cottam, Roger Vounckx

{"title":"智能：自然智能、人工智能还是什么？","authors":"Ron Cottam, Roger Vounckx","doi":"10.1016/j.biosystems.2024.105343","DOIUrl":null,"url":null,"abstract":"<div><div>We consider the competing attributes of natural intelligence (NI) and artificial intelligence (AI). Attention is paid to conceptual, theoretical, stylistic and structural aspects of both, and non-human intelligence. Intelligence is related to information processing and current views of physical structuring. Means of distinguishing between NI and AI are noted, and neural and digital structures are described. Pribram's bi-computational neural networks are introduced, and high-level Pribram computation is discussed. We describe the hierarchical Aquarium scheme, along with an AI implementation, and conclude with a proposition for future quantum-based artificial intelligence.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"246 ","pages":"Article 105343"},"PeriodicalIF":2.0000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligence: Natural, artificial, or what?\",\"authors\":\"Ron Cottam, Roger Vounckx\",\"doi\":\"10.1016/j.biosystems.2024.105343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We consider the competing attributes of natural intelligence (NI) and artificial intelligence (AI). Attention is paid to conceptual, theoretical, stylistic and structural aspects of both, and non-human intelligence. Intelligence is related to information processing and current views of physical structuring. Means of distinguishing between NI and AI are noted, and neural and digital structures are described. Pribram's bi-computational neural networks are introduced, and high-level Pribram computation is discussed. We describe the hierarchical Aquarium scheme, along with an AI implementation, and conclude with a proposition for future quantum-based artificial intelligence.</div></div>\",\"PeriodicalId\":50730,\"journal\":{\"name\":\"Biosystems\",\"volume\":\"246 \",\"pages\":\"Article 105343\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosystems\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0303264724002284\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0303264724002284","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

我们考虑了自然智能（NI）和人工智能（AI）的竞争属性。我们关注自然智能和非人类智能的概念、理论、风格和结构方面。智能与信息处理和当前的物理结构观点有关。指出了区分非人类智能和人工智能的方法，并描述了神经和数字结构。介绍了普里布拉姆的双计算神经网络，并讨论了高级普里布拉姆计算。我们描述了分层水瓶计划以及人工智能的实现，最后提出了未来基于量子的人工智能的命题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Intelligence: Natural, artificial, or what?

We consider the competing attributes of natural intelligence (NI) and artificial intelligence (AI). Attention is paid to conceptual, theoretical, stylistic and structural aspects of both, and non-human intelligence. Intelligence is related to information processing and current views of physical structuring. Means of distinguishing between NI and AI are noted, and neural and digital structures are described. Pribram's bi-computational neural networks are introduced, and high-level Pribram computation is discussed. We describe the hierarchical Aquarium scheme, along with an AI implementation, and conclude with a proposition for future quantum-based artificial intelligence.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Biosystems 生物-生物学

CiteScore

3.70

自引率

18.80%

发文量

129

审稿时长

34 days

期刊介绍： BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.