Journal article
Interface Focus, vol. 13(3), Royal Society, 2023
APA
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Alicea, B., Gordon, R., & Parent, J. (2023). Embodied cognitive morphogenesis as a route to intelligent systems. Interface Focus, 13(3). https://doi.org/10.1098/rsfs.2022.0067
Chicago/Turabian
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Alicea, Bradly, R. Gordon, and Jesse Parent. “Embodied Cognitive Morphogenesis as a Route to Intelligent Systems.” Interface Focus 13, no. 3 (2023).
MLA
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Alicea, Bradly, et al. “Embodied Cognitive Morphogenesis as a Route to Intelligent Systems.” Interface Focus, vol. 13, no. 3, Royal Society, 2023, doi:10.1098/rsfs.2022.0067.
BibTeX Click to copy
@article{bradly2023a,
title = {Embodied cognitive morphogenesis as a route to intelligent systems},
year = {2023},
issue = {3},
journal = {Interface Focus},
publisher = {Royal Society},
volume = {13},
doi = {10.1098/rsfs.2022.0067},
author = {Alicea, Bradly and Gordon, R. and Parent, Jesse},
howpublished = {}
}
The embryological view of development is that coordinated gene expression, cellular physics and migration provides the basis for phenotypic complexity. This stands in contrast with the prevailing view of embodied cognition, which claims that informational feedback between organisms and their environment is key to the emergence of intelligent behaviours. We aim to unite these two perspectives as embodied cognitive morphogenesis, in which morphogenetic symmetry breaking produces specialized organismal subsystems which serve as a substrate for the emergence of autonomous behaviours. As embodied cognitive morphogenesis produces fluctuating phenotypic asymmetry and the emergence of information processing subsystems, we observe three distinct properties: acquisition, generativity and transformation. Using a generic organismal agent, such properties are captured through models such as tensegrity networks, differentiation trees and embodied hypernetworks, providing a means to identify the context of various symmetry-breaking events in developmental time. Related concepts that help us define this phenotype further include concepts such as modularity, homeostasis and 4E (embodied, enactive, embedded and extended) cognition. We conclude by considering these autonomous developmental systems as a process called connectogenesis, connecting various parts of the emerged phenotype into an approach useful for the analysis of organisms and the design of bioinspired computational agents.