The Algorithmic Origins of Life
Sara Imari Walker, Paul C. W. Davies

TL;DR
This paper proposes that the origin of life can be understood as a physical transition marked by a shift in causal structure, where information begins to exert direct, context-dependent influence on matter, akin to phase transitions.
Contribution
It introduces a novel hypothesis that life's emergence involves a causal transition driven by informational causal efficacy, linking physical and informational changes in a new framework.
Findings
Suggests a phase transition-like shift in causal structure marks life's origin
Proposes measures to identify this transition experimentally
Connects the onset of algorithmic information processing to causal architecture
Abstract
Although it has been notoriously difficult to pin down precisely what it is that makes life so distinctive and remarkable, there is general agreement that its informational aspect is one key property, perhaps the key property. The unique informational narrative of living systems suggests that life may be characterized by context-dependent causal influences, and in particular, that top-down (or downward) causation -- where higher-levels influence and constrain the dynamics of lower-levels in organizational hierarchies -- may be a major contributor to the hierarchal structure of living systems. Here we propose that the origin of life may correspond to a physical transition associated with a shift in causal structure, where information gains direct, and context-dependent causal efficacy over the matter it is instantiated in. Such a transition may be akin to more traditional physical…
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