HackerURLs

一次又一次被重新发现的经典。

同一个链接,相隔一年以上,一次又一次被人重新发现、再次冲上 Hacker News 首页。能经受住这种时间检验的,大多是值得一读再读的文章。每篇附中文标题,讨论最热的那些再加上中文导读和高赞评论翻译。

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上首页次数最多、而且有中文导读的 30 篇。时间轴上每个黑点是一次上首页,空心点是一次没冲上去的投稿。

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经典库

按第一次上首页的年份分布,点柱子筛选。

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    这些经典是怎么挑出来的

    1. 01

      合并同一个链接

      读取 Hacker News 自 2006 年以来的全部链接投稿,把 http/https、www、跟踪参数等写法不同的同一篇文章合并成一条。

    2. 02

      只留经得起时间的

      同一链接至少两次拿到 50 分以上(约等于上首页),而且两次相隔一年以上;再由 AI 剔除状态页、产品首页和新闻事件。

    3. 03

      写导读、译评论

      上首页次数最多的 2,000 篇配上中文导读、"为什么经久不衰",并精选翻译 HN 高赞评论。导读由 AI 生成,可能有误。

    工具与资源alumni.media.mit.edu

    AI 程序员的书架

    AI Programmer’s Bookshelf

    3次上首页
    4年跨度
    617累计得分
    55条评论

    2015 — 2019,它一次次回到首页

    黑点是上首页(≥ 50 分)的那次投稿,空心点是没冲上去的投稿,点越大分数越高。

    导读

    这是 MIT 媒体实验室校友整理的“AI 程序员书单”,主要聚焦游戏 AI 领域,涵盖行为树、状态机等实用技术书籍,并附有哲学类延伸阅读。页面多次登上 HN 首页,是游戏 AI 学习的经典入门参考。

    为什么经久不衰:它系统梳理了游戏 AI 这一常被忽视的 AI 分支的必读书目,多年来被反复推荐,是了解“游戏里的 AI”与机器学习有何不同的好起点。

    关键词 游戏AI书单人工智能行为树

    HN 评论精选

    游戏 AI 与主流 AI 几乎是两个领域,实际游戏开发中简单状态机往往比机器学习更实用

    这是关于游戏 AI 的,确实有趣,但它们与大多数人理解的 AI 几乎没有重叠。本科时我同时专攻图形学和机器学习,选了一门游戏课想结合两者。有两件事让我印象深刻:一是《文明1》的开发者来我们课上演讲,透露游戏里的“AI”其实只是一个简单的随机数生成器,人们总以为它复杂得多;二是我自己做游戏时本想用 SVM、神经网络做 sophisticated 的 AI,调研后震惊地发现当时没有任何游戏这么做——机器跑不动,也没必要。最后我只花几天写了个基础状态机,效果却好得出奇,连教授都以为我们加了很聪明的智能。

    rm999查看英文原文

    This is about game AIs, which are definitely interesting. But for the most part they overlap very little with what most people think of as AI. In undergrad (mid 2000s) I partially specialized in both computer graphics and machine learning, and took a video game class to try combining these skills. I have two big memories from this time that stuck with me. The first is the time a dev on Civilization 1 visited our class. He spoke about the "AI" of civilization, which he revealed to be a simple random number generator. He told us people often thought it was far more complex, but that's really all there was to it. The second memory is when we actually built a 3d engine + game from scratch. Every week we had to add a new feature, so one week I obviously took on the AI. My partner and I were doing a soccer-style game, and I had grand visions of implementing a sophisticated AI using what I'd been learning in my other classes, like SVMs and neural networks. I started doing research, and was shocked to learn that no video games at the time did any of this. I learned that computers at the time weren't really capable of running several versions of an ML algorithm simultaneously (one per agent) while dealing with everything else - and more importantly that there was little need. I ended up spending a couple days building out a basic state machine, and it worked. Even the professor thought we added incredible intelligence to the players, who in reality were just following ~10 rules like "if player in defense mode: move towards the midpoint between the ball and the goal while keeping some distance between other players". My main take-away from that class is that there was little need for actual AI in video games, and that I should pursue a different career path :/

    书单内容已过时,更偏游戏 AI 而非现代机器学习

    这个书单看起来很过时了,我前不久也整理了一份机器学习书籍清单。

    adamnemecek查看英文原文

    This seems really out of date. I put together a list of ML books not too long ago https://news.ycombinator.com/item?id=12900448

    推荐 Buckland 的书作为实用游戏 AI 技术的佳作

    Matt Buckland 的书,尤其是《Programming Game AI by Example》,对简单实用的技术来讲非常好。

    douche查看英文原文

    The Matt Buckland books, especially Programming Game AI by Example are very good, for simple, practical techniques.

    书单所有链接都是 Amazon 返利链接,作者未披露利益关系

    这个页面上的每个链接都是 Amazon 联盟推广链接,连《心智社会》这类公有领域作品也指向营利版本。这不影响发布者作为 MIT 学生眼光的可信度,但营利动机理应披露。

    systemtrigger查看英文原文

    Every href on this page is an Amazon affiliate link. Even public domain works such as Society of Mind by Minsky are directed to a for profit version. Observing this does not invalidate the judgement of the MIT student who published the list, but the profit motive should be disclosed in my opinion.

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