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#noveltysearch#evolutionarycomputation#kenstanley

Ken Stanley: Discovery Without Objectives

fzambetta75

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YouTube
  • Recommended by 1 person: 1 on Hacker News.
  • Presented by Ken Stanley, Associate Professor at UCF
  • May be out of date. Uploaded 14 years ago, in an area where tools change fast.
  • An opinion. It argues one side of a question engineers disagree on.

Intermediate. Assumes working knowledge.

5.6K views14 years ago1 recommendation

AI and machine learningComputer scienceClassic machine learningComputation and complexity

Ken Stanley argues that setting strict objectives can block innovation, presenting novelty-driven search in evolutionary computation as a powerful alternative.

This video was given by Assoc. Prof. Ken Stanley (from UCF) when he visited myself (Fabio Zambetta) and my colleague, Xiaodong Li, in the School of Computer Science & IT - RMIT University (Melbourne). The talk was kindly sponsored by NICTA, ACM and RMIT University. In this talk, Ken Stanley contemplates the counterintuitive idea that setting an objective can often block its own achievement, and offers an alternative approach to innovation, creativity, and discovery For more info see: cs.rmit.edu.au/seminars/2012/stanley.htm

Why it's here

1 person recommends this, 1 disputes it

What people say. Recommended for its fascinating exploration of objective-less, novelty-driven search algorithms and their superiority over goal-directed search in complex spaces.

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