Designing Computational Substrates using Open-Ended Evolution

Matthew Dale; Susan Stepney; Martin Albrecht Trefzer

doi:10.1162/isal_a_00294

Designing Computational Substrates using Open-Ended Evolution

Matthew Dale, Susan Stepney, Martin Albrecht Trefzer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Evolutionary algorithms are powerful tools to discover novel and diverse solutions to complex problems. Here, we discuss how open-ended algorithms, such as novelty search, can be used to design and evaluate new unconventional computing systems, from the design of materials to the creation of new computational models.

Original language	English
Title of host publication	Artificial Life Conference Proceedings
Publisher	MIT Press
Pages	665-667
Number of pages	3
DOIs	https://doi.org/10.1162/isal_a_00294
Publication status	Published - 1 Jul 2020

Bibliographical note

Access to Document

10.1162/isal_a_00294

Designing Computational Substrates using Open-Ended Evolution
© 2020 Massachusetts Institute of Technology
Final published version, 217 KBLicence: CC BY

Cite this

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title = "Designing Computational Substrates using Open-Ended Evolution",

abstract = "Evolutionary algorithms are powerful tools to discover novel and diverse solutions to complex problems. Here, we discuss how open-ended algorithms, such as novelty search, can be used to design and evaluate new unconventional computing systems, from the design of materials to the creation of new computational models.",

author = "Matthew Dale and Susan Stepney and Trefzer, {Martin Albrecht}",

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