Outline of a unified Darwinian evolutionary theory for physical and biological systems

TL;DR

This paper proposes a unified Darwinian evolutionary framework for physical and biological systems, emphasizing information flow optimization and integrating natural selection with Lamarckian anticipation to explain emergence of complex behaviors.

Contribution

It introduces a novel unified Darwinian theory applying to both physical and biological systems, highlighting information processing and evolutionary mechanisms.

Findings

Physical systems can be viewed as agents with information processing capabilities.

Optimization of information flows is crucial for understanding quantum behavior emergence.

The theory integrates natural selection with Lamarckian anticipation in a unified evolutionary scheme.

Abstract

The scheme of a unified Darwinian evolutionary theory for physical and biological systems is described. Every physical system is methodologically endowed with a classical information processor what turns every system into an agent being also susceptible to evolution. Biological systems retain this structure as natural extensions of physical systems from which they are built up. Optimization of information flows turns out to be the key element to study the possible emergence of quantum behavior and the unified Darwinian description of physical and biological systems. The Darwinian natural selection scheme is completed by the Lamarckian component in the form of the anticipation of states of surrounding bio-physical systems.