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    Organisms sustain behaviors despite disruptions through internal controls, body, and environment interactions. This research proposes behavioral robustness emerges from dynamic agent-environment couplings, not solely internal mechanisms.

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    Area of Science:

    • Neuroscience
    • Systems Biology
    • Theoretical Biology

    Background:

    • Understanding behavioral robustness is a key challenge in biological sciences.
    • Current theoretical models face difficulties due to the context-dependent nature of robustness.
    • The prevailing view considers robustness an internally emergent phenomenon.

    Purpose of the Study:

    • To challenge the internalist view of behavioral robustness.
    • To propose that robustness arises from distributed dynamical processes involving internal controls, the organism body, and the environment.
    • To introduce a relational perspective on robustness, emphasizing agent-environment interactions.

    Main Methods:

    • Review of existing perspectives on behavioral robustness.
    • Discussion of a hypothesis integrating internal and external factors.
    • Analysis of agent-environment dynamical couplings.

    Main Results:

    • Behavioral robustness is framed as a relational phenomenon.
    • The proposed perspective highlights the role of distributed dynamical processes.
    • Agent-environment couplings are central but not always the sole determinants of robustness.

    Conclusions:

    • Behavioral robustness is better understood through distributed dynamical processes and agent-environment interactions.
    • The relational perspective offers a new framework for studying how organisms maintain behavior.
    • Acknowledges challenges and limitations in the proposed agent-environment coupling approach.