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Self-Organisation of Prediction Models.
1Leibniz Institute for Baltic Sea Research (IOW), 18119 Rostock, Germany.
Living organisms actively process information, transitioning from physical interactions to symbolic processing for survival. This evolution, marked by ritualization, enables prediction and action through symbolic information, like the genetic code.
Area of Science:
- Thermodynamics and Information Theory
- Origin of Life Studies
- Behavioral Biology
Background:
- Living organisms are active, open systems maintaining a state far from thermodynamic equilibrium.
- Active behavior, or dynamical metastability, allows organisms to harness minor triggers for significant actions.
- Information processing, from structural to symbolic, is crucial for survival and adaptation.
Purpose of the Study:
- To elucidate the transition from structural to symbolic information processing in the origin of life.
- To describe the emergence of symbols and prediction models as a ritualization transition.
- To explain the role of symbolic information in enabling active behavior and selective advantage.
Main Methods:
- Conceptual analysis of information processing in living systems.
- Application of concepts from physical chemistry (phase transitions) to biological information processing.
- Examination of the evolution of symbolic systems, starting with the genetic code.
Main Results:
- Identified the transition to symbolic information processing as a key event in the origin of life.
- Characterized this transition as a ritualization, a second-kind phase transition.
- Established that the meaning of symbols is defined by their ultimate effect on actions, exemplified by the genetic code.
Conclusions:
- Symbolic information processing, originating from physical interactions, underpins life's active nature and evolutionary success.
- The emergence of arbitrary symbols (code invariance) represents a new symmetry, enabling complex prediction and action.
- Genetically inherited symbolic information serves as the foundational prediction model for survival.

