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Subjective Information and Survival in a Simulated Biological System.

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Classical information theory, focused on efficiency, may not fully capture biological survival. This study introduces "subjective information," showing that prioritizing survival-relevant data enhances growth over pure information efficiency in single-celled organisms.

Keywords:
biologychemotaxisforaginggrowth ratemutual informationsubjective information

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Area of Science:

  • Information theory
  • Theoretical biology
  • Computational modeling

Background:

  • Information transmission and storage are key concepts for understanding biological systems.
  • Classical information theory, exemplified by Shannon's work, focuses on syntactic information efficiency.
  • Biological systems, however, deal with semantic information where different data types impact survival differently.

Purpose of the Study:

  • To explore the disconnect between classical information theory and biological systems.
  • To develop a mathematical model for information processing in populations of single-celled organisms.
  • To investigate the emergence of "subjective information" and its role in survival and growth.

Main Methods:

  • Development of an abstract mathematical model represented as a computational state machine.
  • Utilization of a custom simulation framework to model population dynamics.
  • Analysis of strategies balancing information acquisition with growth and survival.

Main Results:

  • Simulations revealed a trade-off between maximizing information acquisition and maximizing growth/survival.
  • A strategy prioritizing information efficiency led to lower growth rates.
  • Strategies that acquired less information but deemed more relevant for survival resulted in higher growth.

Conclusions:

  • Classical information efficiency metrics are insufficient for biological contexts.
  • Biological systems exhibit "subjective information" where the meaning of data is crucial for survival.
  • A balance between information acquisition and its survival value is essential for organismal success.