Kavli Affiliate: Stuart Marshall
| First 5 Authors: Alastair Murray, Stuart Marshall, Leroy Cronin, ,
| Summary:
How do we estimate the probability of an abundant objects’ formation, with
minimal context or assumption about is origin? To explore this we have
previously introduced the concept of pathway assembly (as pathway complexity),
in a graph based context, as an approach to quantify the number of steps
required to assembly an object based on a hypothetical history of an objects
formation. By partitioning an object into its irreducible parts and counting
the steps by which the object can be reassembled from those parts, and
considering the probabilities of such steps, the probability that an abundance
of identical such objects could form in the absence of biological or
technologically driven processes can be estimated. Here we give a general
definition of pathway assembly from first principles to cover a wide range of
case, and explore some of these cases and applications which exemplify the
unique features of this approach.
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