AI 学习与文献资料

这个页面集中记录我觉得不错的学习资料和文献。

AI 学习文件

课程 lecture 与基础入门资料,按顺序看即可。

Lecture 01

History of AI

课程导论与 AI 历史脉络。

HistoryOverview
Lecture 02

Perception and Actuation

从 AI 历史延伸到 perception 与 actuation。

PerceptionActuation
Lecture 03

Representation and Reasoning

知识表示与推理基础。

KnowledgeReasoning
Lecture 04

Machine Learning

机器学习基础内容与社会语境。

MLModels
Lecture 05

Natural Interaction

人机自然交互与 AI 体验。

HCIInteraction
Lecture 06

Distributed AI

多智能体、分布式推理与 swarm intelligence。

MASSwarm
Lecture 07

From GOFAI to AGI

从 GOFAI 走向 AGI 的讨论与争议。

GOFAIAGI
Lecture 08

Goal-driven AI and LAWS

Goal-driven AI、search and rescue 与 LAWS。

EthicsSafety
Lecture 09

Language Models and Search Trees

回顾 language models、search trees、situated behaviours 与 neural networks。

LLMsSearch
Lecture 10

Robotic Swarms

RoboCop vs RoboCup,群体机器人与多智能体系统。

RoboticsSwarm
Lecture 12

Adversarial Machine Learning

对抗机器学习与攻击面。

AdversarialSecurity
Lecture 13

AI Literacy and Social Impact

AI literacy、社会感知与影响。

AI LiteracySociety

Prompt 合集

我自己在用的提示词,每一条都能直接复制走。比起收藏一堆链接,我更想把真正反复用到的几条整理清楚。

小练习

这个板块先留出来,后面我会慢慢把自己做过的小练习、随手实验和学习记录补进来。

这个板块之后会继续补充

现在先把作业资料去掉,后面这里会换成更适合展示的小练习内容。

Articles 文献清单

这里先把我看的重要的 `Articles.docx` 里的文章全部整理进来。之后我会继续在这个板块补充自己看过的内容、阅读记录和简单笔记。

Article 01

Computing Machinery and Intelligence

Alan Turing · 1950

Article 02

A Chess-Playing Machine

Claude E. Shannon · 1950

Article 03

Why Should Machines Learn

Herbert Simon · 1983

Article 04

Flocks, Herds, and Schools: A Distributed Behavioral Model

Craig Reynolds · 1987

Article 05

Elephants Don't Play Chess

Rodney A. Brooks · 1990

Article 06

The Myth of the Last Metaphor

Joseph Weizenbaum · 1995

Article 07

RoboCup: The Robot World Cup Initiative

Hiroaki Kitano et al. · 1996

Article 08

The RoboCup Synthetic Agent Challenge

Hiroaki Kitano et al. · 1997

Article 09

Perceptron, Encyclopedia of Computer Science

Laveen Kanal · 2003

Article 10

Is Chess the Drosophila of Artificial Intelligence? A Social History of an Algorithm

Nathan Ensmenger · 2012

Article 11

A Few Useful Things to Know About Machine Learning

Pedro Domingos · 2012

Article 12

Overview on DeepMind and Its AlphaGo Zero AI

Sean Holcomb et al. · 2018

Article 13

Conversations with ELIZA on Gender and Artificial Intelligence

Pedro Costa and Luisa Ribas · 2018

Article 14

The Five Tribes of Machine-Learning: A Brief Overview

Jens Pohl · 2019

Article 15

Deep New: The Shifting Narratives of Artificial Intelligence from Deep Blue to AlphaGo

Paolo Bory · 2019

Article 16

ChatGPT Is a Blurry JPEG of the Web

Ted Chiang · 2023

Article 17

Steps Toward Artificial Intelligence

Minsky · 1961

Article 18

Learning Representations by Back-Propagating Errors

Rumelhart et al. · 1986

Article 19

Heuristic Problem Solving The Next Advance in Operations Research

Simon and Newell · 1958

Article 20

Intelligence Without Representation

Brooks · 1991

Article 21

Deep Learning

LeCun et al. · 2015

Article 22

ImageNet Classification with Deep Convolutional Neural Networks

Krizhevsky et al. · 2012

Article 23

Datasheets for Datasets

Gebru et al. · 2018

Article 24

There is a Blind Spot in AI Research

Crawford and Calo · 2016