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Adaptation Is Not Just Improvement over Time.

Simon McGregor1, Pedro A M Mediano2

  • 1University of Sussex. s.mcgregor@sussex.ac.uk.

Artificial Life
|November 29, 2018
PubMed
Summary
This summary is machine-generated.

Agent actions influencing long-term survival can lead to maladaptive outcomes. This study suggests that Bayesian inference may be the source of this problematic intuition, particularly in models of autopoietic agency.

Keywords:
AdaptivityBayesian inferenceviability

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Area of Science:

  • Theoretical biology
  • Philosophy of science
  • Artificial life

Background:

  • The concept of agent actions directly impacting long-term survival is influential but conflicts with objective physical descriptions.
  • Previous models may overemphasize agent control, leading to counterintuitive results like universal maladaptation.

Purpose of the Study:

  • To resolve the tension between agent agency and objective physical states.
  • To identify the source of the problematic intuition that actions improve survival.
  • To analyze limitations of prior approaches in autopoietic systems.

Main Methods:

  • Theoretical analysis of agent-environment interactions.
  • Modeling autopoietic agency in a protocell system.
  • Examining specific instances of Bayesian inference by observers.

Main Results:

  • The approach of actions directly impacting survival leads to undesirable outcomes, such as organisms being maladaptive on average.
  • Bayesian inference by observers is identified as a potential source of the intuition of improvement over time.
  • Limitations of existing models and Bayesian inference methods were demonstrated in the protocell model.

Conclusions:

  • The intuitive link between agent actions and improved long-term survival requires re-evaluation.
  • Bayesian inference, especially by external observers, can create misleading interpretations of agency and adaptation.
  • A more nuanced understanding of agent-environment dynamics is needed, particularly in artificial life and theoretical biology.