The Algorithmic Origins of Life
release_ac6wixuecjacvdtse5c3hzlfxi
by
Sara Imari Walker, Paul C. W. Davies
2012
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 transitions (e.g.
thermodynamic phase transitions), with the crucial distinction that determining
which phase (non-life or life) a given system is in requires dynamical
information and therefore can only be inferred by identifying causal
architecture. We discuss some potential novel research directions based on this
hypothesis, including potential measures of such a transition that may be
amenable to laboratory study, and how the proposed mechanism corresponds to the
onset of the unique mode of (algorithmic) information processing characteristic
of living systems.
In text/plain
format
Archived Files and Locations
application/pdf 210.6 kB
file_luj6skdoavcn5jzoknpqacdowa
|
arxiv.org (repository) web.archive.org (webarchive) |
application/pdf 9.2 MB
file_5tduz2y5nffzplltfvckakmcnq
|
archive.org (archive) |
1207.4803v2
access all versions, variants, and formats of this works (eg, pre-prints)