When Novelty Is Not Enough

@inproceedings{Cuccu2011WhenNI,
  title={When Novelty Is Not Enough},
  author={Giuseppe Cuccu and Faustino J. Gomez},
  booktitle={EvoApplications},
  year={2011}
}
The idea of evolving novel rather than fit solutions has recently been offered as a way to automatically discover the kind of complex solutions that exhibit truly intelligent behavior. So far, novelty search has only been studied in the context of problems where the number of possible “different” solutions has been limited. In this paper, we show, using a task with a much larger solution space, that selecting for novelty alone does not offer an advantage over fitness-based selection. In… CONTINUE READING
BETA

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
SHOWING 1-10 OF 58 CITATIONS, ESTIMATED 38% COVERAGE

FILTER CITATIONS BY YEAR

2011
2019

CITATION STATISTICS

  • 15 Highly Influenced Citations

  • Averaged 8 Citations per year over the last 3 years

  • 13% Increase in citations per year in 2018 over 2017

Similar Papers

Loading similar papers…