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Ken Stanley:没有目标的发现
Ken Stanley: Discovery Without Objectives
AI 翻译,未经编辑审核
讲什么
Stanley提出目标可能妨碍创新,并用进化计算说明新奇性驱动的开放搜索。
HN 网友推荐理由
HN 网友推荐理由:被用于讨论开放搜索可能胜过目标优化,也有网友认为部分内容空泛。
摘要与推荐理由由 HackerTube 用 AI 生成,大榕 AI 翻译整理,未经编辑审核。
视频数据来源:HackerTube(https://hackertube.org),基于 Hacker News 社区推荐整理,依 ODC-By 1.0(https://opendatacommons.org/licenses/by/1-0/)许可使用。筛选与中文整理:大榕 darong.ai。
展开英文原文字段
Title
Ken Stanley: Discovery Without Objectives
Summary
A 92-minute RMIT University seminar in which Ken Stanley argues that setting an objective can block achieving it. He presents objective-less, novelty-driven search as an alternative approach to innovation and discovery, drawing on evolutionary computation.
Why HN
Cited as a source for the idea that open-ended search can beat objective-driven optimization, though one commenter found parts of it fluffy.
Primary topic
open-ended search