The scaling of goals via homeostasis: an evolutionary simulation,
experiment and analysis
- URL: http://arxiv.org/abs/2211.08522v1
- Date: Tue, 15 Nov 2022 21:48:44 GMT
- Title: The scaling of goals via homeostasis: an evolutionary simulation,
experiment and analysis
- Authors: Leo Pio-Lopez, Johanna Bischof, Jennifer V. LaPalme, and Michael Levin
- Abstract summary: We propose that evolution pivoted the collective intelligence of cells during morphogenesis into behavioral intelligence by scaling up the goal states at the center of homeostatic processes.
We found that these emergent morphogenetic agents exhibit a number of predicted features, including the use of stress propagation dynamics to achieve its target morphology.
We propose that this system is a first step toward a quantitative understanding of how evolution scales minimal goal-directed behavior (homeostatic loops) into higher-level problem-solving agents in morphogenetic and other spaces.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: All cognitive agents are composite beings. Specifically, complex living
agents consist of cells, which are themselves competent sub-agents navigating
physiological and metabolic spaces. Behavior science, evolutionary
developmental biology, and the field of machine intelligence all seek an answer
to the scaling of biological cognition: what evolutionary dynamics enable
individual cells to integrate their activities to result in the emergence of a
novel, higher-level intelligence that has goals and competencies that belong to
it and not to its parts? Here, we report the results of simulations based on
the TAME framework, which proposes that evolution pivoted the collective
intelligence of cells during morphogenesis of the body into traditional
behavioral intelligence by scaling up the goal states at the center of
homeostatic processes. We tested the hypothesis that a minimal evolutionary
framework is sufficient for small, low-level setpoints of metabolic homeostasis
in cells to scale up into collectives (tissues) which solve a problem in
morphospace: the organization of a body-wide positional information axis (the
classic French Flag problem). We found that these emergent morphogenetic agents
exhibit a number of predicted features, including the use of stress propagation
dynamics to achieve its target morphology as well as the ability to recover
from perturbation (robustness) and long-term stability (even though neither of
these was directly selected for). Moreover we observed unexpected behavior of
sudden remodeling long after the system stabilizes. We tested this prediction
in a biological system - regenerating planaria - and observed a very similar
phenomenon. We propose that this system is a first step toward a quantitative
understanding of how evolution scales minimal goal-directed behavior
(homeostatic loops) into higher-level problem-solving agents in morphogenetic
and other spaces.
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