Stochastic Ontogenesis in Evolutionary Robotics
- Submitting institution
-
University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 364
- Type
- E - Conference contribution
- DOI
-
10.1162/isal_a_00045
- Title of conference / published proceedings
- ALIFE 2018: The 2018 Conference on Artificial Life
- First page
- 214
- Volume
- -
- Issue
- 30
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2018
- URL
-
https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00045
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Noise has been a focus in studies of evolution for 25 years. This evolutionary robotics work is the first to apply noise specifically to the step from genotype to phenotype. The paper provides validation of existing theories of noise (in 2-D simulation), and the proof of concept (in 3D simulation) needed for further research into ontogenic noise in evolutionary robotics. Importantly, this also contributes to narrowing of the reality-gap between simulation and embodied robotics. The paper is also a starting point for a theoretical investigation of the role of noise in evolutionary systems that include a developmental process.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -