| Organodynamics | Grant
Holland, Apr 25, 2014 |
| Slide: Autocoorganization | |
| Beyond limited stationary processes, what other properties do we need to mimic
from living systems in organodynamics in order to provide a modeling paradigm for
our
target class of complex systems? Regulation: The ability to continue the same behavior for some limited time. ÒAffinity dynamicsÓ. Diversification: The ability to behave differently than any particular specific behavior over time, while still permitting variations in behavior. ÒAversion dynamicsÓ. Proliferation: The concurrent or simultaneous instantiations of both regulation and diversification in a large number of occurrences over time. Attrition: The cessation or termination of a process within an ODSP. Adaptation: A change in behavior or constitution of an ODSP that persists for some period of time. | Approach
to representation of autocoorganization using probability and information theoriesÉ How
can we define these properties in terms of probability
and information theories? Regulation: conditional distributions, dependent stochastic processes, Markov processes, reduced mutual information and entropy rates. Diversification: conditional distributions, dependent stochastic processes, Markov processes, elevated mutual information and entropy rates. Proliferation: laws of large numbers, conditional distributions, dependent stochastic processes, Markov processes, mutual information and entropy rates. Attrition: Pr(F) = 1. Adaptation: Reduced mutual information and elevated entropy rates. |
| Do
these have correlates in other disciplines? Regulation: Negative feedback (cybernetics), Homeostasis (biological metabolism), Transcription factors (protein synthesis) Diversification: Positive feedback (cybernetics), Transcription factors (protein synthesis) Proliferation: Diversification and differentiation (evolutionary biology, immunology), Transcription factors (protein synthesis) Attrition: Natural selection (evolutionary biology) Adaptation: Adaptation (evolutionary biology, immunology), Transcription factors (protein synthesis) | Autocoorganization
is presently a work in progress. At
this point, it is best described as an approach to and architecture
for the self-creation, self-organization and self-management
of organic complex systems using the mathematics of organodynamics Ð specifically probability
and information theories. |
Notes: