The Evolution of Selection

EOS

A broader theoretical framework for understanding selection as physical, algorithmic, and cognitive processes.

Core thesis

EOS develops a unified framework for understanding selection as a family of distinct but interacting processes rather than a single monolithic force. Physical, algorithmic, and cognitive forms of selection arose at different stages in the history of life and continue to operate together in modern organisms.

Physical selection

Physical selection acts directly through forces, constraints, geometry, energy, and survival consequences imposed by the physical world. It is the most basic layer of selection and remains the foundation on which later modes operate.

Algorithmic selection

Algorithmic selection occurs through biological systems that process inputs and produce outcomes without conscious evaluation. Regulatory networks, immune systems, metabolic systems, and developmental programs can all bias survival and reproduction through rule-based biological computation.

Cognitive selection

Cognitive selection arises when organisms make evaluative decisions. Mate choice, social choice, parental investment, risk assessment, and learned behavior allow repeated decisions to bias reproductive outcomes.

Why EOS matters for DESTA

DESTA depends on selection processes that are not purely physical. Mate choice, physiological filtering, and reproductive decision-making are cognitive and algorithmic forms of selection. EOS provides the broader theoretical foundation for treating these mechanisms as evolved biological selection systems.

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