In celebration of McCulloch-Pitts ANN model’s 80th anniversary: its origin, principle, and influence

Qinghai MIAO; Yutong WANG; Yisheng LV; Xiaoxiang NA; Fei-Yue WANG

doi:10.11959/j.issn.2096-6652.202314

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In celebration of McCulloch-Pitts ANN model’s 80th anniversary: its origin, principle, and influence

Review Intelligence | 更新时间：2024-04-04

- In celebration of McCulloch-Pitts ANN model’s 80th anniversary: its origin, principle, and influence
- Chinese Journal of Intelligent Science and Technology Vol. 5, Issue 2, Pages: 133-142(2023)
- 作者机构：
  
  1. 中国科学院大学人工智能学院，北京 100049
  2. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  3. 剑桥大学工程系，英国剑桥 CB2 1PZ
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202314
  CLC： TP13
- Revised：2023-06-10，
  
  Online First：2023-06，
  
  Published：15 June 2023
- 稿件说明：
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Qinghai MIAO, Yutong WANG, Yisheng LV, et al. In celebration of McCulloch-Pitts ANN model’s 80th anniversary: its origin, principle, and influence[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 133-142.
DOI：

Qinghai MIAO, Yutong WANG, Yisheng LV, et al. In celebration of McCulloch-Pitts ANN model’s 80th anniversary: its origin, principle, and influence[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 133-142. DOI： 10.11959/j.issn.2096-6652.202314.

摘要

1943年，Warren McCulloch和Walter Pitts发表论文《神经活动内在思想的逻辑演算》，证明可以使用逻辑演算描述神经网络的运行机理，拓展了计算神经科学的领域前沿，奠定了人工神经网络的发展基础。恰逢M-P论文发表80周年之际，结合时代背景和作者学术生涯的变迁，探索M-P理论的思想源泉；借助原文中的示例，概述M-P模型的基本原理；以作者对循环因果和反馈机制的研究为主线，探讨M-P模型对信息科学发展的影响、对控制论发展的贡献，及其在当今人工智能大模型时代的意义。

Abstract

In 1943

Warren McCulloch and Walter Pitts published a paper titled “A logical calculus of the ideas immanent in nervous activity”

which demonstrated that the functioning of neural networks could be described using logical calculus.This expanded the field of computational neuroscience and laid the foundation for the development of artificial neural networks.On the occasion of the 80th anniversary of the publication of the M-P paper

the intellectual origins of the M-P theory was explored

taking into account the historical context and the authors’ career trajectories.With the help of examples from the original paper

the basic principles of the M-P model were outlined

and its advantages and limitations were summarized.Furthermore

the impact of the M-P theory on the development of information science was discussed

focusing on the authors’ contributions to cybernetics

including their work on circular causality and feedback mechanisms

which provided a foundation for the development of modern artificial intelligence technologies such as parallel intelligence and large-scale models.

关键词

Keywords

references

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