Stochastic Penna model for biological aging
classification
❄️ cond-mat.stat-mech
physics.bio-phq-bio.PE
keywords
modelagesagingbiologicalpennastochasticadvancedapproach
read the original abstract
A stochastic genetic model for biological aging is introduced bridging the gap between the bit-string Penna model and the Pletcher-Neuhauser approach. The phenomenon of exponentially increasing mortality function at intermediate ages and its deceleration at advanced ages is reproduced for both the evolutionary steady-state population and the genetically homogeneous individuals.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.