Evidence map›Paper›PMID 23144668›Full record

ArticleEvolutionary intelligence2012

Embodied artificial evolution: Artificial evolutionary systems in the 21st Century.

A E Eiben, S Kernbach, Evert Haasdijk

Abstract read
In one paragraph

Article in Evolutionary intelligence, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Exploring Embodied Intelligence in Soft Robotics: A Review.Biomimetics (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Robot Evolution: Ethical Concerns.Frontiers in robotics and AI · 2021
    Review
  5. Real-World Robot Evolution: Why Would it (not) Work?Frontiers in robotics and AI · 2021
    Review
  6. Lamarckian Evolution of Simulated Modular Robots.Frontiers in robotics and AI · 2019
    Article
  7. Artificial intelligence exploration of unstable protocells leads to predictable properties and discovery of collective behavior.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

A E EibenVU University Amsterdam, Amsterdam, The Netherlands.
S Kernbach
Evert Haasdijk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolution is one of the major omnipresent powers in the universe that has been studied for about two centuries. Recent scientific and technical developments make it possible to make the transition from passively understanding to actively using evolutionary processes. Today this is possible in Evolutionary Computing, where human experimenters can design and manipulate all components of evolutionary processes in digital spaces. We argue that in the near future it will be possible to implement artificial evolutionary processes outside such imaginary spaces and make them physically embodied. In other words, we envision the "Evolution of Things", rather than just the evolution of digital objects, leading to a new field of Embodied Artificial Evolution (EAE). The main objective of this paper is to present a unifying vision in order to aid the development of this high potential research area. To this end, we introduce the notion of EAE, discuss a few examples and applications, and elaborate on the expected benefits as well as the grand challenges this developing field will have to address.

Identifiers

PMID23144668
PMCPMC3490067

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.