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Rosen's (M,R) system as an X-machine
- Publication Year :
- 2016
-
Abstract
- Robert Rosen's (M,R) system is an abstract biological network architecture that is allegedly both irreducible to sub-models of its component states and non-computable on a Turing machine. (M,R) stands as an obstacle to both reductionist and mechanistic presentations of systems biology, principally due to its self-referential structure. If (M,R) has the properties claimed for it, computational systems biology will not be possible, or at best will be a science of approximate simulations rather than accurate models. Several attempts have been made, at both empirical and theoretical levels, to disprove this assertion by instantiating (M,R) in software architectures. So far, these efforts have been inconclusive. In this paper, we attempt to demonstrate why - by showing how both finite state machine and stream X-machine formal architectures fail to capture the self-referential requirements of (M,R). We then show that a solution may be found in communicating X-machines, which remove self-reference using parallel computation, and then synthesise such machine architectures with object-orientation to create a formal basis for future software instantiations of (M,R) systems.
- Subjects :
- 0301 basic medicine
Statistics and Probability
Theoretical computer science
Probabilistic Turing machine
General Biochemistry, Genetics and Molecular Biology
law.invention
Stream X-Machine
03 medical and health sciences
symbols.namesake
Turing machine
0302 clinical medicine
Non-deterministic Turing machine
law
X-machine
Computer Simulation
Language
Mathematics
Finite-state machine
General Immunology and Microbiology
Systems Biology
Applied Mathematics
Computability
General Medicine
Models, Theoretical
030104 developmental biology
Modeling and Simulation
symbols
Universal Turing machine
General Agricultural and Biological Sciences
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....44b330b7d50f05cf81572338acfe306a
- Full Text :
- https://doi.org/10.1016/j.jtbi.2016.08.007