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Creative AI Through Evolutionary Computation: Principles and Examples
The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces. Population-based search techniques, i.e. variants of evolutionary computation, are well sui...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Singapore
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986182/ https://www.ncbi.nlm.nih.gov/pubmed/33778772 http://dx.doi.org/10.1007/s42979-021-00540-9 |
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author | Miikkulainen, Risto |
author_facet | Miikkulainen, Risto |
author_sort | Miikkulainen, Risto |
collection | PubMed |
description | The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces. Population-based search techniques, i.e. variants of evolutionary computation, are well suited to finding them. These techniques make it possible to find creative solutions to practical problems in the real world, making creative AI through evolutionary computation the likely “next deep learning.” |
format | Online Article Text |
id | pubmed-7986182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-79861822021-03-24 Creative AI Through Evolutionary Computation: Principles and Examples Miikkulainen, Risto SN Comput Sci Original Research The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces. Population-based search techniques, i.e. variants of evolutionary computation, are well suited to finding them. These techniques make it possible to find creative solutions to practical problems in the real world, making creative AI through evolutionary computation the likely “next deep learning.” Springer Singapore 2021-03-23 2021 /pmc/articles/PMC7986182/ /pubmed/33778772 http://dx.doi.org/10.1007/s42979-021-00540-9 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Miikkulainen, Risto Creative AI Through Evolutionary Computation: Principles and Examples |
title | Creative AI Through Evolutionary Computation: Principles and Examples |
title_full | Creative AI Through Evolutionary Computation: Principles and Examples |
title_fullStr | Creative AI Through Evolutionary Computation: Principles and Examples |
title_full_unstemmed | Creative AI Through Evolutionary Computation: Principles and Examples |
title_short | Creative AI Through Evolutionary Computation: Principles and Examples |
title_sort | creative ai through evolutionary computation: principles and examples |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986182/ https://www.ncbi.nlm.nih.gov/pubmed/33778772 http://dx.doi.org/10.1007/s42979-021-00540-9 |
work_keys_str_mv | AT miikkulainenristo creativeaithroughevolutionarycomputationprinciplesandexamples |