- author = "W. B. Langdon and Daniel Hulme",
- title = "Sustaining Evolution for Shallow Embodied Intelligence",
- booktitle = "Proceedings of 2023 International Conference on Embodied Intelligence, EI-2023",
- year = "2024",
- editor = "Arsen Abdulali and Josie Hughes and Fumiya Iida",
- volume = "1321",
- number = "1",
- series = "IOP Conf. Series",
- pages = "012007",
- address = "Internet, Cambridge, UK",
- month = "20-22 " # mar,
- organisation = "Bio-Inspired Robotics, Cambridge",
- publisher = "IOP Publishing",
- note = "In EI 2024 but for production reasons published in EI 2023 proceedings",
- keywords = "genetic algorithms, genetic programming, genetic improvement, Perspectives and outlooks, long term evolution experiment, information theory, entropy, software robustness, continuous improvement artificial intelligence, being shallow, shallow mangrove trees, porous software computer architectures, geometrical structures",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2024_EI.pdf",
-
DOI = "
doi:10.1088/1757-899X/1321/1/012007",
- size = "14 pages",
- abstract = "Lenski's experiments with E. Coli show Biology can sustain continual evolutionary improvement. However long term evolutionary experiments (LTEE) with evolutionary computing find that information theory's failed disruption propagation (FDP) in deeply nested genetic programming (GP) hierarchies can greatly slow adaptation. We propose that researchers aiming at embodied artificial intelligence should control software robustness by using porous high surface area geometrical architectures, perhaps composed of many shallow mangrove like tree structures intimately linked to their data rich fitness environment",
-
notes = "also known as
\cite{Langdon_2024}
https://embodied-intelligence.org/wp-content/uploads/2024/03/ei24-conference-programme-slides-final-2.pdf
Published 19 December 2024 after the conference.",
